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Architect - Cloud (Onsite) Primary Location: Louisville, Kentucky V-Soft Consulting is currently hiring for an Architect - Cloud for our premier client in Louisville, Kentucky. Education and Experience " Bachelor's degree, Master's Degree preferred. Proficiency in calculation scripts, Groovy scripting, REST API integration, and EPM-Automate. 12+ years of experience with Oracle EPM solutions (EPBCS/PBCS, Hyperion Planning, Essbase, ARCS, FCCS). Proficiency in calculation scripts, Groovy scripting, REST API integration, and EPM-Automate. Experience migrating on-premises Hyperion solutions to Oracle Cloud (PBCS/EPBCS, ARCS, FCCS). Expertise in data integration and automation using Data Management, EPM Agent, and ETL solutions. In-depth knowledge of Oracle EPM Cloud infrastructure, security, and administration. Proven ability to interact with business and technical stakeholders. Excellent communication and leadership skills to work effectively with Finance and IT teams. Languages: English (Read, Write, Speak). WHAT YOU'LL DO: Job Responsibilities: Lead delivery of end-to-end EPBCS solutions (planning, budgeting, forecasting, reporting). Design and implement financial models, reports, and dashboards based on business requirements. Configure and enhance EPBCS modules (Workforce Planning, Capital Asset Planning, Financials, Projects). Optimize EPM application performance for scalability and robustness. Conduct workshops to gather requirements and provide strategic advice on leveraging EPM. Develop functional and technical specifications, test plans, and scripts. Collaborate with finance and IT/DT teams to align EPM solutions with business goals. Manage EPM application security, user provisioning, and integration with IDCS/LDAP. Design and architect complex, secure, and scalable EPM Cloud solutions to address intricate business challenges, ensuring alignment with overall business objectives. Develop and deliver impactful presentations, workshops, and proofs of concept to demonstrate the strategic and financial benefits of proposed solutions to stakeholders. Streamline and simplify business processes using Oracle Financials and related EPM Cloud modules. Conduct deep dives into broader financial domains to fully understand specific business complexities, technological needs, and how they relate to the EPM Cloud environment. Ensure architectural consistency, coherence, and best practices are maintained across all EPM Cloud solutions, with a focus on performance, reliability, and security. Solution Design: Develop and configure EPBCS, ARCS & FCCS solutions tailored to the organization's planning, budgeting, and forecasting needs. Data Integration: Manage the integration of various data sources into EPBCS, ARCS/FCCS ensuring data accuracy and consistency. Configuration and Customization: Implement necessary configurations and customize EPBCS functionalities to align with business processes. Testing and Validation: Conduct comprehensive testing, including data validation and user acceptance testing (UAT), to ensure system readiness. Training and Documentation: Create detailed documentation and provide training for end-users to support effective adoption of EPBCS. Post-Implementation Support: Offer ongoing support, monitor system performance, and recommend enhancements to improve functionality and user experience. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

About Arcticom, LLC Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: DevSecOps Engineer Location - Kettering, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $160k - $175k Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Participate and contribute to a team of resources with the collective knowledge, skills and provide subject matter expertise in Oracle EBS solution Architecture, Oracle Database, Real Application Clusters, Governance Risk & Compliance, Oracle Discoverer, User Productivity Kit, Service Oriented Architecture (SOA) suite, BPEL, Oracle Single Sign-on, Oracle Access Manager, Oracle Internet Directory, Application Development Framework, Oracle Data Integrator, Oracle OEM, Fusion Middleware, OBIEE, Flex Deploy, and Groovy programming language in a Cloud environment. Evaluate existing and new releases of high-level Enterprise architectures to verify and document compliance as well as identify compliance gaps. Expertise to align system requirements with functional business processes of advanced supply chain planning and requirements; maintenance, repair and overhaul; and financial management processes ensuring proposed solutions align to enterprise Research and expand the technical architecture to support the functional capability, system performance, scalability and Cybersecurity needs of the application and supporting Understand, validate, plan and track the holistic view of the solution software, hardware, integration, compatibility and alignment to overall Monitor and evaluate the impact of software, hardware, network and Cybersecurity design changes relative to middle-tier configuration, redundancy, performance, and scalability. Develop physical and logical architecture documentation as necessary to support required compliance requirements. Provide planning for migration to new hardware, platforms, or to the Cloud. Support implementation and execution of system design; including software, hardware, network, and Cybersecurity. Research and expand the technical architecture to support the functional capability, system performance, scalability and Cybersecurity needs of the application and underlying infrastructure. Understand, validate, plan, and track the holistic view of the solution software, hardware, integration, compatibility, and alignment to overall mission. Monitor and evaluate the impact of software, hardware, network, and Cybersecurity design changes relative to middle-tier configuration, redundancy, performance, and scalability. Develop physical and logical architecture artifacts as necessary to tracks required compliance requirements. Evaluate existing and new releases of high-level enterprise architectures to verify and document compliance as well as identify compliance gaps. Configure and manage virtualized environments, SAN and NAS storage, and networking. Perform software installations, patching, configurations, and product integration. Contribute to the development of policies, workflows, DevSecOps and process automation including Continuous Integration and Continuous Delivery (CI/CD) pipeline development in addition to managing the day-to-day operations of the continuous deployment software pipeline. Review associated documentation, updates, installation instructions, design documentation and development of technical release, notes. Utilize AGILE development tools to reduce burden of documentation deliverables and increase visibility of program efforts internally and externally. This includes working with the stakeholders to streamline documentation requirements and delivery methods as much as practical. Deliver technical expertise and leadership on system engineering processes, designs, and test support for the following activities: Provide oversight into custom solution activities including reviews of functional and technical designs and System Integrator (SI) developed custom code. Validate proper design foundations of RICE (Reports, Interfaces, Conversions and Extensions) per Oracle recommended guidelines and organizational Architectural standards to satisfy requirements and maintain Commercial Off the Shelf (COTS) upgradability. Provide documented recommendations on how to maximize the use of the COTS software in lieu of custom RICE. Recommend improvements to the data integration architecture, technical architecture, and implementation of leading systems engineering practices for efficient and reliable interface design to fully leverage existing integrations products such as SOA Suite. Facilitate interface meetings with Trading Partners and System Implementers, as necessary, to establish interface agreements and to agree upon interface approaches in alignment with Oracle best practices and Architectural standards. Analyze, investigate, and assess enterprise systems and corresponding processes and controls compliance with financial laws, regulations, and policies. Specific tasks include: Develop and support integrated systems compliance assessment strategy designed to identify gaps and potential impacts on internal controls and corresponding financial reporting. Develop and coordinate updates to checklists, instructions, templates to accommodate changes driven by new or changed DBSs into the enterprise (e.g., forms, data element, task, and procedural changes). Investigate auditor observations and/or findings, recommend solutions, and coordinate program responses. Assist in development and/or review of system compliance documentation requirements, to ensure business processes and controls will be effective when the system is implemented and will help ensure that new processes and related controls will meet audit readiness objectives. Required (Minimum Necessary) Qualifications 15+ years overall experience delivering successful configurations, configuration management, software development, fielding, deployment, operations support, and sustainment of a military system. 12+ years of experience with Enterprise solutions through engineering; architecture and technical analysis; and compliance with regulations and policies. Supported architecture solution uses an Oracle technology platform, including Oracle Database, Oracle Enterprise Resource Planning (ERP) applications/Enterprise Business suite, Oracle middleware. Infrastructure architecture analysis required to enhance the capabilities, scale the Oracle E-Business Suites (EBS) application and support business operations. 10+ years of industry experience in DevSecOps architecture related to Continuous Integration/Delivery solutions and platform automation. 10+ years of experience in software delivery leadership in AGILE methodology and DevSecOps practices. 10+ years of experience leading DevSecOps teams. 8+ years of experience in 24x7 production operations, preferably supporting a highly available environment for a SaaS vendor or other cloud service provider. 5+ years of experience with government deliverables. Must be a U.S. citizen. Hold or can acquire government security clearance. Must have Bachelor's degree in Computer Science, Engineering or related field, or equivalent experience. Knowledge, Skills, Abilities, and Other Characteristics Experience with On-Prem and/or cloud infrastructure provisioning, automation, and support. Experience with navigating core processes, team responsibilities, and multiple environments. Experience with FlexDeploy tasks and JIRA ticketing systems. Experience working with open-source software and tooling. Release automation, (e.g., Jenkins), system administration, system configuration, and system debugging experience. Experience with Logging and Monitoring tools. Experience with scripting in Python, Ruby, JSON, Go or Bash. Experience with large-scale, distributed COTS solutions deployed on Oracle Cloud Infrastructure (OCI). Preferred Hold a Federal government SECRET clearance. Prior military service. Experience working with the federal government. Supervisory Responsibilities Will supervise and lead a team of DevSecOps Subject Matter Experts. Will interface and work closely with government lead. Will be required to know configurations, version numbers, roles, functions, etc. across multiple environments. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about . click apply for full job details

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! At Credit Acceptance, cloud computing continues to allow us to modernize and consolidate IT infrastructure, automate workloads, and pursue next-generation innovation. To continue this transformation, we're seeking an experienced Senior Staff Cloud Engineer with expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate is experienced in cloud-based tech, with a firm grasp of emerging technologies, platforms, and applications, and ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance and advanced industry knowledge is key to keeping us on the cutting edge. From day one, you'll have an immediate impact on the day-to-day efficiency of our IT infrastructure and an ongoing impact on our overall growth. The Senior Staff Cloud Engineer owns the cloud and is responsible for architecture, administration, maintenance and availability of all cloud infrastructure and supporting tools. Additionally, Senior Staff Cloud Engineer demonstrates and encourages a culture of automation, orchestration and efficiency. The position is key to driving cloud strategy that is consistent with the department and business goals. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Provide thought leadership and build cloud solutions that deliver high impact business value and deliver customer delight Lead the design and implementation of cloud solutions that are scalable, reliable, and maintainable Collaborate with a diverse cross functional team including business partners, Product Managers and designers to define product requirements, direction and clarity Drive technical innovation and improvements of the design and architecture of cloud systems towards leading edge technologies and practices at the organization level Define, develop and drive cloud engineering best practices Become an expert in the business process domain to better support the business and align technologies with the business outcomes Develops cross-disciplinary knowledge and an understanding of the market context to drive organization-level solutions Work with the engineering leadership team to develop and execute on the company's technical and business strategy Conduct impact analysis to proactively identify impact of a change across multiple applications/systems Perform technical due diligence and architectural assessments of third-party technologies and solutions. Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Document standards, best practices, and engineering artifacts so others can easily understand, build and maintain best in class Cloud systems Debug the critical problems which arise in production and execute effective solutions Anticipate customer needs and industry shifts to improve design and overall engineering practices Participate in talent selection and mentoring team members Develop standard architectural practices and lead solutions development across partner engineering groups Define and document best practices and strategies regarding cloud deployments and maintenance Ensure application performance, uptime, and scale, maintaining high standards of quality and thoughtful design Conduct routine environment audits of cloud accounts for compliance with established standards, policies, configuration guidelines and procedures Maintain a comprehensive cloud library of all supporting documentation Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Minimum of 10 years of experience designing scalable Cloud/Hybrid environments with a strong background in AWS and Azure Experience developing and managing Infrastructure as Code, leveraging tools such as Terraform, Ansible, GitHub, etc. Experience in the lead role overseeing technical direction for multiple Cloud/Platform/Development/DevOps/SRE teams Extensive experience with building and driving adoption of Cloud engineering best practices Experience driving impact on mission-critical enterprise class applications having organization-wide impact Hands-on experience with LLM integration patterns and at least one LLM gateway or proxy product (LiteLLM, Portkey, AWS Bedrock Gateway, or equivalent), including model routing, rate limiting, and token usage attribution in a multi-tenant cloud environment Preferred: Experience in a hybrid Cloud/Data Center environment supporting various multi-tier and microservice applications Experience with SaaS, PaaS, and IaaS deployments in the Cloud Experience developing and maintaining performance metrics and graphs Experience with other clouds like Oracle and Google Experience with backup and data protection technologies Experience with patching tools Experience with virtualization environments Experience with observability and alerting tools like PagerDuty Ability to use Excel or similar tool(s) to provide value from various data sources Experience working with monitoring/trending software such as CloudWatch, ELK, Splunk, etc Expert knowledge of DevOps processes Experience with agentic orchestration frameworks such as LangGraph or LangChain, and familiarity with the Model Context Protocol (MCP) for building or securing agent tool interfaces Experience with policy-as-code frameworks (OPA, Cedar, or equivalent) in production cloud environments, particularly for access control and automated compliance enforcement Knowledge and Skills: Expert knowledge of cloud best practices with experience building complex software engineering products Strong understanding of distributed systems, cloud computing, and microservices architectures Demonstrated ability to coach business partners, cross functional team members, and mentor senior-level members Proven track record driving continuous improvements with cloud technology Proven ability to drive automation and build self service capabilities for Software Engineers Development of automation scripts in various automation, orchestration, scripting, or programming languages Ability to right-size cloud infrastructure with cost, and performance in mind Target Compensation: A competitive base salary range from $161,000 - $237,000. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge . click apply for full job details

It Starts Here:Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USDMaximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

Employment as a Contingent Worker aligns well with individuals seeking career flexibility and non-traditional work arrangements, while also being motivated to produce exceptional results in prominent roles. Magnit Direct Source is a service provided by Magnit Global that connects top-tier talent directly to an industry-leading company. Daiichi Sankyo, Inc. and Magnit Global, in collaboration, offer flexible contingent assignments across diverse projects creating opportunities for engaging work. As a Contingent Worker, you will not be employed Daiichi Sankyo, Inc. You will be employed by our Managed Service Provider, Magnit Global, which oversees the majority of our temporary contract recruitment. Location: Basking Ridge, NJ (Hybrid) so local candidates only We are seeking a detail-oriented Tableau QA Engineer to join the MARS team. This role focuses on ensuring the quality, accuracy, and reliability of Tableau dashboards through a combination of manual testing, SQL-based data validation, and test automation. The ideal candidate is technically strong, hands-on, and passionate about data quality and analytics testing. You will work closely with Tableau Developers and Data Engineers to validate dashboard functionality, performance, and underlying data integrity. Key Responsibilities • Develop, execute, and maintain comprehensive test cases and scripts for functional, regression, and data validation testing of Tableau dashboards. • Use intermediate-level SQL to validate data accuracy, transformations, joins, aggregations, and KPI calculations between source systems and Tableau outputs. • Perform end-to-end dashboard testing, including filters, parameters, calculations, drill down behavior, and performance validation. • Design and implement automated testing workflows for Tableau dashboards using tools such as Wiisdom, Selenium, or similar automation frameworks. • Document test strategies, test plans, defects, and release progress using JIRA, Confluence, Excel, and other reporting tools. • Collaborate with Tableau Engineers and Data Engineers to clarify requirements, identify data issues, and ensure high-quality dashboard releases. • Support continuous improvement of QA processes, automation coverage, and data validation standards. Requirements: • 5+ years of experience in dashboard or BI testing (Tableau strongly preferred) • Intermediate SQL skills (ability to write joins, aggregations, subqueries, data validation queries, and troubleshoot data discrepancies) - required • Hands-on experience with manual and automated testing methodologies • Experience with JIRA, Confluence, and MS Excel for test management and documentation • Solid understanding of database technologies (e.g., Redshift, Oracle, or similar)• Strong analytical thinking and attention to detail • Excellent communication skills and ability to work in a collaborative team environment • Experience with Tableau automation testing tools such as Wiisdom • Experience in the pharmaceutical industry or working with clinical trials data Role Expectations (Important) • This is a PURELY TECHNICAL, HANDS-ON ROLE - not a coordination or oversight only position • Candidate must be comfortable working directly with SQL queries, dashboards, and testing tools daily • Bachelor's degree or higher in Computer Science, Data Science, Information Systems, or a related field Hourly Pay Rate Range (dependent on location, experience, expectation) The pay range that Magnit reasonably expects to pay for this position is: $ 60-$74/hr Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met) QUALIFICATION/LICENSURE Work Authorization : Green Card, US Citizen, Other valid work visa Preferred years of experience : 1 years Travel required : No travel required Shift timings :

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here:Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USDMaximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here:Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USDMaximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: Develop, enhance, and maintain AML compliance models and transaction monitoring scenarios across AML compliance systems including advanced machine learning and AI models. Apply data science, statistical modeling, natural language processing, and machine learning techniques to large structured and unstructured financial datasets to support AML model development, feature engineering, model validation, performance monitoring, and explainability. Support AML compliance initiatives through model development, tuning, threshold optimization, and alert reduction strategies. Perform advanced data analysis using SAS, SQL, and Python to identify trends, anomalies, suspicious patterns, and data quality issues across large financial datasets. Design and execute complex SQL queries, stored procedures, data extraction, and reconciliation activities to support AML investigations and model testing. Develop Python-based automation scripts and analytical solutions to improve operational efficiency and testing effectiveness. Execute model testing activities including SIT, UAT, regression testing, defect validation, and production verification. Collaborate with Compliance, Technology, Model Risk, and Business teams to gather requirements and implement AML monitoring solutions. Analyze model assumptions, data integrity, and transaction monitoring effectiveness to ensure compliance with regulatory expectations. Create and maintain technical documentation, testing evidence, Jira stories, defect logs, and implementation artifacts. Work within Agile delivery methodologies and actively track development/testing activities through Jira. Support production releases, issue resolution, and ongoing model performance monitoring. Ensure adherence to enterprise governance standards, SDLC processes, and AML compliance policies. Adopt the latest AI-based technologies to improve efficiency. What You Bring: Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field. 3-5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services. Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing. Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing. Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets. Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management. Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT. Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts. Strong analytical, quantitative, and problem-solving skills. Ability to multitask, manage priorities, and work effectively in fast-paced environments. Strong communication, documentation, and stakeholder management skills. It Would Be Nice For You To Have: Experience working with AML transaction monitoring systems, alert analysis, and compliance technology platforms. Experience in developing AI Agents. Good understanding of RAG and MCP's. Experience with Oracle, relational databases, or ETL processes. Exposure to EDD Verifier, ECS, and Temenos (T24) platforms. Exposure to model validation, model governance, or threshold optimization initiatives. Experience working with large-scale financial or transactional datasets. Knowledge of version control tools such as Git. Experience in cloud or distributed data environments is a plus. Advanced Microsoft Office skills including Excel and PowerPoint. Work Authorization & Sponsorship Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $90,000.00 USD Maximum: $170,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Software Engineer IV - ERP Finance (Oracle/PLSQL) - Spectrum Ready to advance Spectrum's financial systems with your Oracle and PL/SQL expertise? As a Software Engineer IV on the ERP Finance team, you'll design, enhance and maintain vital financial applications that support business operations and revenue objectives. Your technical skills will ensure Spectrum's finance systems remain reliable, secure and high performing. Your work will help Spectrum's Finance organization achieve greater accuracy and efficiency. How You'll Make an Impact Design, develop and optimize ERP financial software using Oracle and PL/SQL for system reliability and scalability Integrate financial applications with other Spectrum platforms and data sources Participate in Agile and Scrum processes to meet project goals Apply security standards and ensure compliance with regulations for financial systems Identify and resolve defects and integration issues in ERP applications Lead code reviews, debug and test software, and estimate effort for new features Mentor junior developers and support technical problem solving Working Conditions Office environment (Hybrid 4:1) What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree in Information Technology, Computer Science or related field or equivalent combination of education and experience Experience 2+ years experience with database management systems, including Oracle and PL/SQL 2+ years experience coding, testing and designing software for ERP or financial systems 2+ years experience with software development methodologies Skills Knowledge of Oracle, PL/SQL and at least one additional major programming language or tool Understanding of environments, containers, cloud native development, APIs, data stores and software architecture for ERP Ability to analyze and resolve moderately complex financial system issues Functional negotiation skills Experience presenting technical work to teams and leadership Proficient in English communication Ability to apply company policies to resolve financial software challenges Skilled at breaking down ERP projects and meeting deadlines Preferred Qualifications Experience 4+ years hands-on experience with Oracle and PL/SQL in database management 4+ years experience coding, testing and designing ERP or financial software 4+ years experience with modern software development methodologies Experience with Java, Spring, API Gateway and cloud native development (AWS preferred) ESW343 9 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet , TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Software Engineer IV - ERP Finance (Oracle/PLSQL) - Spectrum Ready to advance Spectrum's financial systems with your Oracle and PL/SQL expertise? As a Software Engineer IV on the ERP Finance team, you'll design, enhance and maintain vital financial applications that support business operations and revenue objectives. Your technical skills will ensure Spectrum's finance systems remain reliable, secure and high performing. Your work will help Spectrum's Finance organization achieve greater accuracy and efficiency. How You'll Make an Impact Design, develop and optimize ERP financial software using Oracle and PL/SQL for system reliability and scalability Integrate financial applications with other Spectrum platforms and data sources Participate in Agile and Scrum processes to meet project goals Apply security standards and ensure compliance with regulations for financial systems Identify and resolve defects and integration issues in ERP applications Lead code reviews, debug and test software, and estimate effort for new features Mentor junior developers and support technical problem solving Working Conditions Office environment (Hybrid 4:1) What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree in Information Technology, Computer Science or related field or equivalent combination of education and experience Experience 2+ years experience with database management systems, including Oracle and PL/SQL 2+ years experience coding, testing and designing software for ERP or financial systems 2+ years experience with software development methodologies Skills Knowledge of Oracle, PL/SQL and at least one additional major programming language or tool Understanding of environments, containers, cloud native development, APIs, data stores and software architecture for ERP Ability to analyze and resolve moderately complex financial system issues Functional negotiation skills Experience presenting technical work to teams and leadership Proficient in English communication Ability to apply company policies to resolve financial software challenges Skilled at breaking down ERP projects and meeting deadlines Preferred Qualifications Experience 4+ years hands-on experience with Oracle and PL/SQL in database management 4+ years experience coding, testing and designing ERP or financial software 4+ years experience with modern software development methodologies Experience with Java, Spring, API Gateway and cloud native development (AWS preferred) ESW343 9 2026 Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. This job posting will remain open until 2026-06-:00 AM (UTC) and will be extended if necessary. The base pay for this position generally is between $80,300.00 and $156,600.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet , TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.