SAP Finance (FICO) Solution Specialist (CONTRACT TO HIRE) One of our clients, a major electronics manufacturer is looking for a talented SAP Finance (FICO) Solution Specialist (CONTRACT TO HIRE) Contract to hire position (C2H) with FT role option in about 3 months. Initial rate $80h on W2. Permanent position will be with base salary range up to 160K+ plus bonus and great benefits package. Location: Huntington (Long Island) area - hybrid commute (4 days onsite, 1 day remote per week) Must be authorized to work for ANY employer in US Sorry, No H1B candidates Please read the description below and to be considered immediately email your resume to
08/03/2026
Full time
SAP Finance (FICO) Solution Specialist (CONTRACT TO HIRE) One of our clients, a major electronics manufacturer is looking for a talented SAP Finance (FICO) Solution Specialist (CONTRACT TO HIRE) Contract to hire position (C2H) with FT role option in about 3 months. Initial rate $80h on W2. Permanent position will be with base salary range up to 160K+ plus bonus and great benefits package. Location: Huntington (Long Island) area - hybrid commute (4 days onsite, 1 day remote per week) Must be authorized to work for ANY employer in US Sorry, No H1B candidates Please read the description below and to be considered immediately email your resume to
Our client, a major bank in New York City, is looking for Data Architecture & Engineering Lead - Market Risk Technology. New York City Location. This is hybrid commute, 5 days per 2 weeks in the office. Salary range 200-240K, plus around 20% bonus, plus great benefits package. Data Architecture & Engineering Lead - Market Risk Technology As the leader of data architecture and engineering for bank's Market Risk technology platform, you will oversee the end-to-end design, deployment, and operations of critical data solutions supporting VaR, FRTB, sensitivities, stress testing, limits, and regulatory reporting. Your accountability spans the platform's architectural vision, engineering frameworks, and the operational outcomes delivered to Risk, Finance, and Front Office stakeholders. The platform is currently undergoing a migration from SSIS/SQL Server to Databricks and Delta Lake. You will be responsible for setting the target architecture, driving this migration to completion, and ensuring the stability of the legacy estate until it is fully decommissioned. Role: Data Architecture: Oversee the platform's data architecture, including transactional and analytical stores, Lakehouse implementation, semantic layers, and reporting models. Establish scalable standards that apply across teams rather than bespoke designs for individual projects. Engineering Frameworks & Patterns: Develop and enforce reusable libraries and frameworks for data ingestion, quality, reconciliation, lineage, orchestration, error handling, and recovery. Ensure these are built once and adopted broadly across the organization. Migration Leadership: Lead the SSIS-to-Databricks migration program, including sequencing, parallel-run reconciliation, cutover, decommissioning, and operational handover at each step. Risk Data Models: Design canonical and semantically clear data models for trades, positions, sensitivities, P&L, market data, VaR, stress, limits, capital, and regulatory reporting. Ensure models are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs. Data Observability: Integrate quality assurance, SLA tracking, pipeline health, reconciliation, anomaly detection, and lineage as core platform capabilities, not afterthoughts. Full Lifecycle Ownership: Guide the platform from design through deployment and ongoing operations. While production support handles daily operations, you own the engineering discipline that underpins their success. Stakeholder Partnership: Collaborate closely with risk managers, quants, application owners, engineers, support teams, infrastructure, and governance to ensure alignment and platform excellence. Required Experience 15+ years in data architecture, engineering, or platform roles within financial services. Hands-on expertise in Market Risk data domains including trades, positions, sensitivities, P&L, market data, VaR, stress, FRTB, capital, and regulatory reporting, with the depth to model the domain, not just describe it. Proven experience designing and operating modern data platforms including lakehouse, distributed compute, semantic layers, and hybrid on-prem/cloud environments. Production experience with Databricks, Spark, and Delta Lake, plus working knowledge of SQL Server and SSIS to credibly lead migration. Expertise in data modeling for operational, dimensional, semantic, and canonical models. Demonstrated leadership of large ETL modernization initiatives, including sequencing, parallel-run, cutover, and decommissioning. Track record of building reusable engineering frameworks adopted across teams. Experience in performance tuning at scale for SQL Server, Databricks, Spark, storage formats, and query optimization. Architectural leadership: setting direction, reviewing designs, challenging weak patterns, and mentoring engineers and architects. Strong communication skills, capable of defending architectural decisions to senior technology, risk, and business leaders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
08/03/2026
Full time
Our client, a major bank in New York City, is looking for Data Architecture & Engineering Lead - Market Risk Technology. New York City Location. This is hybrid commute, 5 days per 2 weeks in the office. Salary range 200-240K, plus around 20% bonus, plus great benefits package. Data Architecture & Engineering Lead - Market Risk Technology As the leader of data architecture and engineering for bank's Market Risk technology platform, you will oversee the end-to-end design, deployment, and operations of critical data solutions supporting VaR, FRTB, sensitivities, stress testing, limits, and regulatory reporting. Your accountability spans the platform's architectural vision, engineering frameworks, and the operational outcomes delivered to Risk, Finance, and Front Office stakeholders. The platform is currently undergoing a migration from SSIS/SQL Server to Databricks and Delta Lake. You will be responsible for setting the target architecture, driving this migration to completion, and ensuring the stability of the legacy estate until it is fully decommissioned. Role: Data Architecture: Oversee the platform's data architecture, including transactional and analytical stores, Lakehouse implementation, semantic layers, and reporting models. Establish scalable standards that apply across teams rather than bespoke designs for individual projects. Engineering Frameworks & Patterns: Develop and enforce reusable libraries and frameworks for data ingestion, quality, reconciliation, lineage, orchestration, error handling, and recovery. Ensure these are built once and adopted broadly across the organization. Migration Leadership: Lead the SSIS-to-Databricks migration program, including sequencing, parallel-run reconciliation, cutover, decommissioning, and operational handover at each step. Risk Data Models: Design canonical and semantically clear data models for trades, positions, sensitivities, P&L, market data, VaR, stress, limits, capital, and regulatory reporting. Ensure models are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs. Data Observability: Integrate quality assurance, SLA tracking, pipeline health, reconciliation, anomaly detection, and lineage as core platform capabilities, not afterthoughts. Full Lifecycle Ownership: Guide the platform from design through deployment and ongoing operations. While production support handles daily operations, you own the engineering discipline that underpins their success. Stakeholder Partnership: Collaborate closely with risk managers, quants, application owners, engineers, support teams, infrastructure, and governance to ensure alignment and platform excellence. Required Experience 15+ years in data architecture, engineering, or platform roles within financial services. Hands-on expertise in Market Risk data domains including trades, positions, sensitivities, P&L, market data, VaR, stress, FRTB, capital, and regulatory reporting, with the depth to model the domain, not just describe it. Proven experience designing and operating modern data platforms including lakehouse, distributed compute, semantic layers, and hybrid on-prem/cloud environments. Production experience with Databricks, Spark, and Delta Lake, plus working knowledge of SQL Server and SSIS to credibly lead migration. Expertise in data modeling for operational, dimensional, semantic, and canonical models. Demonstrated leadership of large ETL modernization initiatives, including sequencing, parallel-run, cutover, and decommissioning. Track record of building reusable engineering frameworks adopted across teams. Experience in performance tuning at scale for SQL Server, Databricks, Spark, storage formats, and query optimization. Architectural leadership: setting direction, reviewing designs, challenging weak patterns, and mentoring engineers and architects. Strong communication skills, capable of defending architectural decisions to senior technology, risk, and business leaders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
Our client, a major bank in New York City, is looking for Equities Trade Support Specialist This on-site role, 5 days in the office. 6 months initial contract with possible extensions or option to hire. Rate: $95-105 on W2, possible C2C as well. Equities Trade Support Job Description: Provide direct front-office technology support to Equities traders, middle office users, and Compliance teams on the trading floor Monitor trading platforms and FIX network connectivity to ensure system stability and availability Diagnose and resolve real-time trading issues, including detailed investigation of compliance-related inquiries Communicate major incidents, impacts, and resolution status clearly to key stakeholders and senior management Gather, analyze, and document business requirements from traders, ensuring proper tracking, prioritization, and transparency Translate business requirements into clear functional specifications for vendor and internal development teams to deliver enhancements Share end-to-end business workflows with Support and QA teams to strengthen regression testing and operational readiness Maintain and continuously improve the knowledge base, support runbooks, scripts, and technical documentation Qualifications: Over 5 years of experience supporting mission-critical front-office trading applications within Equities, including U.S. Market Making, ETFs, Electronic Trading, Global Program Trading, and Convertible Bonds Strong understanding of high-touch trading workflows, FIX protocol, OMS platforms, IOI processing, market data, and CTM flows, Tidal or other scheduler systems Proven experience handling regulatory and compliance-driven requests and inquiries, including Reg NMS, Reg SHO, CAT, ACT, ORF, and TRACE Proficient with, SQL querying, JIRA for issue tracking, and Excel for operational analysis and reporting Demonstrated ability to build effective relationships and collaborate across front office, middle office, and control functions Excellent written and verbal communication skills, with the ability to convey complex technical issues to non-technical stakeholders Strong analytical and problem-solving skills with a high level of attention to detail Self-motivated and adaptable, with the ability to prioritize and execute effectively in a fast-paced, high-pressure trading environment Experience with scripting and automation tools is a plus Soft Skills: Highly self-motivated with a strong sense of drive and accountability Confident, dependable, and consistently reliable Proven ability to work independently on complex issues and projects Effective collaborator with strong teamwork skills Excellent written and verbal communication abilities Strong critical thinking and problem-solving skills Detail-oriented with solid documentation and reporting capabilities Education Requirement: Computer Science degree Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
08/03/2026
Full time
Our client, a major bank in New York City, is looking for Equities Trade Support Specialist This on-site role, 5 days in the office. 6 months initial contract with possible extensions or option to hire. Rate: $95-105 on W2, possible C2C as well. Equities Trade Support Job Description: Provide direct front-office technology support to Equities traders, middle office users, and Compliance teams on the trading floor Monitor trading platforms and FIX network connectivity to ensure system stability and availability Diagnose and resolve real-time trading issues, including detailed investigation of compliance-related inquiries Communicate major incidents, impacts, and resolution status clearly to key stakeholders and senior management Gather, analyze, and document business requirements from traders, ensuring proper tracking, prioritization, and transparency Translate business requirements into clear functional specifications for vendor and internal development teams to deliver enhancements Share end-to-end business workflows with Support and QA teams to strengthen regression testing and operational readiness Maintain and continuously improve the knowledge base, support runbooks, scripts, and technical documentation Qualifications: Over 5 years of experience supporting mission-critical front-office trading applications within Equities, including U.S. Market Making, ETFs, Electronic Trading, Global Program Trading, and Convertible Bonds Strong understanding of high-touch trading workflows, FIX protocol, OMS platforms, IOI processing, market data, and CTM flows, Tidal or other scheduler systems Proven experience handling regulatory and compliance-driven requests and inquiries, including Reg NMS, Reg SHO, CAT, ACT, ORF, and TRACE Proficient with, SQL querying, JIRA for issue tracking, and Excel for operational analysis and reporting Demonstrated ability to build effective relationships and collaborate across front office, middle office, and control functions Excellent written and verbal communication skills, with the ability to convey complex technical issues to non-technical stakeholders Strong analytical and problem-solving skills with a high level of attention to detail Self-motivated and adaptable, with the ability to prioritize and execute effectively in a fast-paced, high-pressure trading environment Experience with scripting and automation tools is a plus Soft Skills: Highly self-motivated with a strong sense of drive and accountability Confident, dependable, and consistently reliable Proven ability to work independently on complex issues and projects Effective collaborator with strong teamwork skills Excellent written and verbal communication abilities Strong critical thinking and problem-solving skills Detail-oriented with solid documentation and reporting capabilities Education Requirement: Computer Science degree Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
Our client, a major bank in NYC is looking for Rapid Application Developer with Python skills. Initial 6 months contract with possible extensions or option to hire. 5 days on-site. Midtown Manhattan Location Rate: $32h on W2. Developer position (0-3 years of experience).
08/03/2026
Full time
Our client, a major bank in NYC is looking for Rapid Application Developer with Python skills. Initial 6 months contract with possible extensions or option to hire. 5 days on-site. Midtown Manhattan Location Rate: $32h on W2. Developer position (0-3 years of experience).
Our client, a major bank in New York City, is looking for Product Management & Enablement Lead . New York City Location. This is hybrid commute, 5 days per 2 weeks in the office. Salary range 170-200K, plus around 20% bonus, plus great benefits package. Product Management & Enablement Lead for Enterprise Data Office Position Overview We are seeking a skilled and driven Product Manager to lead the strategy, development, and execution of our data governance tools, Data Products and Enablement. This role is ideal for someone passionate about enabling organizations to manage, protect, and leverage their data assets effectively. The Product Manager will work cross-functionally with engineering, data, business, and compliance teams to deliver world-class solutions that address complex data governance challenges. Key Responsibilities Data Governance Tooling Product Management Define and communicate a clear product vision and roadmap for data governance tools based on market trends, customer feedback, and business objectives. Gather and prioritize product requirements from stakeholders, including data stewards, IT teams, compliance officers, and business users. Translate business needs and regulatory requirements into technical specifications for engineering teams. Collaborate with engineering, design, and QA teams to deliver high-quality, scalable, and secure data governance solutions. Oversee the end-to-end product lifecycle, from ideation and design to launch and ongoing enhancements. Data Product Enablement Lead team of Data Product Coaches that will coach Business Data Product Managers in live delivery, not classroom theory. Establish and mature best practices for the development of Data Products. Reinforce product mindset, fail fast execution, and iterative delivery. Guide and mature the application of the Data Product Framework: data contracts, consumer alignment, and reuse patterns. Unblock delivery decisions in real time, in partnership with Technology and Data. Governance Monitor product performance, user adoption, and feedback to iterate and improve features. Stay up to date with data privacy regulations (e.g., GDPR, CCPA) and ensure product compliance. Advocate for data governance best practices internally and externally. Develop training materials and support documentation to enable customer success. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). At least 3-5 years of experience in product management, preferably with data governance, data management, or enterprise software tools. Strong technical background with familiarity in databases, data architectures, cloud platforms, and API integrations. Understanding of data governance frameworks, metadata management, data cataloging, data lineage, and data quality concepts. Proven track record of delivering successful products in an agile environment. Excellent communication, stakeholder management, and problem-solving skills. Experience working in regulated industries or with compliance-driven products is a plus. Preferred Skills Familiarity with data governance tools (e.g., Securiti.ai, Anomalo, Collibra, Informatica, Alation, Talend, etc.). Experience with cloud platforms such as AWS, Azure, or Google Cloud, Databricks, Oracle, SQL. Project management certification (PMP, Scrum, etc.) is a plus. Ability to balance technical depth with business acumen. Strong analytical skills and attention to detail. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
08/03/2026
Full time
Our client, a major bank in New York City, is looking for Product Management & Enablement Lead . New York City Location. This is hybrid commute, 5 days per 2 weeks in the office. Salary range 170-200K, plus around 20% bonus, plus great benefits package. Product Management & Enablement Lead for Enterprise Data Office Position Overview We are seeking a skilled and driven Product Manager to lead the strategy, development, and execution of our data governance tools, Data Products and Enablement. This role is ideal for someone passionate about enabling organizations to manage, protect, and leverage their data assets effectively. The Product Manager will work cross-functionally with engineering, data, business, and compliance teams to deliver world-class solutions that address complex data governance challenges. Key Responsibilities Data Governance Tooling Product Management Define and communicate a clear product vision and roadmap for data governance tools based on market trends, customer feedback, and business objectives. Gather and prioritize product requirements from stakeholders, including data stewards, IT teams, compliance officers, and business users. Translate business needs and regulatory requirements into technical specifications for engineering teams. Collaborate with engineering, design, and QA teams to deliver high-quality, scalable, and secure data governance solutions. Oversee the end-to-end product lifecycle, from ideation and design to launch and ongoing enhancements. Data Product Enablement Lead team of Data Product Coaches that will coach Business Data Product Managers in live delivery, not classroom theory. Establish and mature best practices for the development of Data Products. Reinforce product mindset, fail fast execution, and iterative delivery. Guide and mature the application of the Data Product Framework: data contracts, consumer alignment, and reuse patterns. Unblock delivery decisions in real time, in partnership with Technology and Data. Governance Monitor product performance, user adoption, and feedback to iterate and improve features. Stay up to date with data privacy regulations (e.g., GDPR, CCPA) and ensure product compliance. Advocate for data governance best practices internally and externally. Develop training materials and support documentation to enable customer success. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). At least 3-5 years of experience in product management, preferably with data governance, data management, or enterprise software tools. Strong technical background with familiarity in databases, data architectures, cloud platforms, and API integrations. Understanding of data governance frameworks, metadata management, data cataloging, data lineage, and data quality concepts. Proven track record of delivering successful products in an agile environment. Excellent communication, stakeholder management, and problem-solving skills. Experience working in regulated industries or with compliance-driven products is a plus. Preferred Skills Familiarity with data governance tools (e.g., Securiti.ai, Anomalo, Collibra, Informatica, Alation, Talend, etc.). Experience with cloud platforms such as AWS, Azure, or Google Cloud, Databricks, Oracle, SQL. Project management certification (PMP, Scrum, etc.) is a plus. Ability to balance technical depth with business acumen. Strong analytical skills and attention to detail. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
Our client, a major bank in New York City, is looking for Senior Solutions Architect Developer - Payment Systems (Director Level). New York City Location. This is hybrid commute, 2/3 days per week in the office. Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range 180 - 200K, plus around 20% bonus, plus great benefits package. Senior Solutions Architect Developer - Payment Systems and Customer Reporting. In this role you will be responsible for the design, development, and production support of modern web applications and digital platforms supporting banking customers. This role is a fully hands-on senior system developer with deep expertise in Angular-based front-end development, complemented by strong capabilities in back-end services, database design, and full-stack solution delivery. You will work closely with product, business, architecture, security, and infrastructure teams to build secure, scalable, and regulatory-compliant digital banking experiences. The role demands ownership of the end-to-end development lifecycle, including UI, APIs, data layer, and deployment artifacts, ensuring alignment with enterprise architecture standards and banking regulatory requirements. PRINCIPAL DUTIES AND RESPONSIBILITIES Web Application Design & Development Design and develop enterprise-grade Angular web applications for corporate and institutional banking customers. Build responsive, accessible, and high-performance user interfaces aligned with UX/UI standards. Implement modular architecture using Angular/React best practices. Ensure cross-browser compatibility and mobile responsiveness. Full-Stack Development Develop and integrate RESTful and/or GraphQL APIs. Build backend services using modern frameworks (Java/Spring Boot, .NET, Node.js). Create and maintain database objects including tables, views, stored procedures, and functions. Write efficient SQL queries and optimize data access. System Architecture & Solution Design Translate business requirements into scalable technical solutions. Contribute to microservices and API-first architectures. Design solutions aligned with enterprise architecture principles, cloud strategy and regulatory requirements using scalable, resilient, and secure integration patterns. Support modernization initiatives including real-time payments and API-led architectures. Banking & Secure Application Development Develop applications compliant with banking regulations and security policies. Implement secure coding practices (SSO, OAuth2, OIDC, Encryption). DevOps & Delivery Participate in CI/CD pipeline implementation. Ensure code quality via testing and reviews. Support production releases and issue resolution. Technical Leadership & Collaboration Mentor team members and contribute to design reviews & collaborate with cross-functional teams. MINIMUM JOB REQUIREMENTS OR EXPERIENCE 10+ years of overall technology experience with significant experience in Angular and full-stack development in banking or financial services Proven experience architecting mission-critical, high-volume, regulated systems. Knowledge of payment rails, clearing models, and settlement mechanisms. Knowledge of architecture design aligned with ISO 20022 and other financial messaging standards. TECHNICAL SKILLS Core - Must Have Enterprise and solution architecture experience in banking or payments. Distributed systems, microservices, and event-driven architectures. Seasoned C# / .NET developer. Azure cloud experience. Security architecture, authentication, authorization, and data protection. Angular, TypeScript, HTML5, CSS3 REST APIs and state management Backend development (Java, .NET, Node.js) Database expertise and SQL optimization CI/CD tools experience (full DevOps and App code scans) Preferred / Nice to Have Strong understanding of payment lifecycles and ISO 20022. Understanding of domestic and cross-border payment processing solutions. Education and Other Requirements Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience. Strong communication skills and ability to influence senior stakeholders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
08/03/2026
Full time
Our client, a major bank in New York City, is looking for Senior Solutions Architect Developer - Payment Systems (Director Level). New York City Location. This is hybrid commute, 2/3 days per week in the office. Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range 180 - 200K, plus around 20% bonus, plus great benefits package. Senior Solutions Architect Developer - Payment Systems and Customer Reporting. In this role you will be responsible for the design, development, and production support of modern web applications and digital platforms supporting banking customers. This role is a fully hands-on senior system developer with deep expertise in Angular-based front-end development, complemented by strong capabilities in back-end services, database design, and full-stack solution delivery. You will work closely with product, business, architecture, security, and infrastructure teams to build secure, scalable, and regulatory-compliant digital banking experiences. The role demands ownership of the end-to-end development lifecycle, including UI, APIs, data layer, and deployment artifacts, ensuring alignment with enterprise architecture standards and banking regulatory requirements. PRINCIPAL DUTIES AND RESPONSIBILITIES Web Application Design & Development Design and develop enterprise-grade Angular web applications for corporate and institutional banking customers. Build responsive, accessible, and high-performance user interfaces aligned with UX/UI standards. Implement modular architecture using Angular/React best practices. Ensure cross-browser compatibility and mobile responsiveness. Full-Stack Development Develop and integrate RESTful and/or GraphQL APIs. Build backend services using modern frameworks (Java/Spring Boot, .NET, Node.js). Create and maintain database objects including tables, views, stored procedures, and functions. Write efficient SQL queries and optimize data access. System Architecture & Solution Design Translate business requirements into scalable technical solutions. Contribute to microservices and API-first architectures. Design solutions aligned with enterprise architecture principles, cloud strategy and regulatory requirements using scalable, resilient, and secure integration patterns. Support modernization initiatives including real-time payments and API-led architectures. Banking & Secure Application Development Develop applications compliant with banking regulations and security policies. Implement secure coding practices (SSO, OAuth2, OIDC, Encryption). DevOps & Delivery Participate in CI/CD pipeline implementation. Ensure code quality via testing and reviews. Support production releases and issue resolution. Technical Leadership & Collaboration Mentor team members and contribute to design reviews & collaborate with cross-functional teams. MINIMUM JOB REQUIREMENTS OR EXPERIENCE 10+ years of overall technology experience with significant experience in Angular and full-stack development in banking or financial services Proven experience architecting mission-critical, high-volume, regulated systems. Knowledge of payment rails, clearing models, and settlement mechanisms. Knowledge of architecture design aligned with ISO 20022 and other financial messaging standards. TECHNICAL SKILLS Core - Must Have Enterprise and solution architecture experience in banking or payments. Distributed systems, microservices, and event-driven architectures. Seasoned C# / .NET developer. Azure cloud experience. Security architecture, authentication, authorization, and data protection. Angular, TypeScript, HTML5, CSS3 REST APIs and state management Backend development (Java, .NET, Node.js) Database expertise and SQL optimization CI/CD tools experience (full DevOps and App code scans) Preferred / Nice to Have Strong understanding of payment lifecycles and ISO 20022. Understanding of domestic and cross-border payment processing solutions. Education and Other Requirements Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience. Strong communication skills and ability to influence senior stakeholders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
Our client, a major bank in New York City, is looking for Solution Engineer with Quantexa Platform experience. New York City Location. This is hybrid commute, 5 days per 2 weeks in the office. Salary range 140-160K, plus around 15% bonus, plus great benefits package. Solution Engineer - Quantexa Platform In this role you will support the end-to-end delivery of transaction monitoring solutions on the Quantexa platform by translating business needs into scalable, secure, and high-performing data and analytics solutions. This is a hands-on delivery and enablement role that partners with the Technical Lead (VP) and engineering teams across architecture execution, integration build-out, testing, and release activities. You will contribute to engineering best practices, produce high-quality solutions, and help ensure reliable production deployments through effective coordination and troubleshooting. Key Responsibilities Support technical discovery with business, data, and engineering stakeholders to understand objectives, data landscape, and success criteria for Quantexa use cases; capture outcomes and inputs for solution design. Contribute to solution architecture and implementation design on the Quantexa platform (data ingestion, entity resolution, network generation, analytics, and integration patterns) by drafting options, documenting decisions, and supporting reviews. Build and deliver platform demonstrations, prototypes, and proof-of-concepts, including data modeling, pipeline configuration, and analytic outputs to showcase value. Support integration with enterprise systems (data sources, APIs, messaging, identity, and security) by helping define interface requirements, validating assumptions, and assisting with performance, scalability, and resilience analysis. Partner with the Technical Lead (VP) and implementation teams to translate solution designs into delivery epics/stories; support delivery execution and help unblock teams through hands-on troubleshooting. Support release readiness by validating environments, deployment approaches, and operational runbooks; assist with production issue triage and coordination as needed. Create technical documentation (architecture diagrams, configuration notes, data mappings, and admin guidance) and enablement materials. Stay current on Quantexa features, accelerators, and best practices; share learnings and contribute reusable assets (demo datasets, templates, reference architectures). Qualifications Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field (or equivalent practical experience). 5+ years of experience in solution engineering, technical consulting, or implementation roles delivering data/analytics platforms. Hands-on experience with the Quantexa platform (configuration, data pipelines, entity resolution, network analytics) and the ability to explain technical concepts to non-technical audiences. Strong understanding of data integration patterns (batch/streaming), ETL/ELT concepts, APIs, and data quality/lineage practices. Proficiency with modern engineering tools and delivery practices (e.g., Git, CI/CD pipelines, artifact repositories) and comfort working in agile delivery models. Experience with big data and distributed processing concepts (e.g., Spark) and familiarity with Scala and/or Python. Experience working on cloud computing platforms (Azure preferred). Excellent written and verbal communication skills, with proven ability to support workshops, communicate technical concepts clearly, influence stakeholders, and drive closure on action items. Preferred Skills Experience in financial crime, fraud, AML transaction monitoring, or customer intelligence use cases. Experience designing entity resolution and graph/network analytics solutions, including tuning and evaluation approaches. Exposure to MLOps/ModelOps, feature engineering, and model integration patterns in production environments. Certification in Quantexa or related data analytics technologies is a plus. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:
08/03/2026
Full time
Our client, a major bank in New York City, is looking for Solution Engineer with Quantexa Platform experience. New York City Location. This is hybrid commute, 5 days per 2 weeks in the office. Salary range 140-160K, plus around 15% bonus, plus great benefits package. Solution Engineer - Quantexa Platform In this role you will support the end-to-end delivery of transaction monitoring solutions on the Quantexa platform by translating business needs into scalable, secure, and high-performing data and analytics solutions. This is a hands-on delivery and enablement role that partners with the Technical Lead (VP) and engineering teams across architecture execution, integration build-out, testing, and release activities. You will contribute to engineering best practices, produce high-quality solutions, and help ensure reliable production deployments through effective coordination and troubleshooting. Key Responsibilities Support technical discovery with business, data, and engineering stakeholders to understand objectives, data landscape, and success criteria for Quantexa use cases; capture outcomes and inputs for solution design. Contribute to solution architecture and implementation design on the Quantexa platform (data ingestion, entity resolution, network generation, analytics, and integration patterns) by drafting options, documenting decisions, and supporting reviews. Build and deliver platform demonstrations, prototypes, and proof-of-concepts, including data modeling, pipeline configuration, and analytic outputs to showcase value. Support integration with enterprise systems (data sources, APIs, messaging, identity, and security) by helping define interface requirements, validating assumptions, and assisting with performance, scalability, and resilience analysis. Partner with the Technical Lead (VP) and implementation teams to translate solution designs into delivery epics/stories; support delivery execution and help unblock teams through hands-on troubleshooting. Support release readiness by validating environments, deployment approaches, and operational runbooks; assist with production issue triage and coordination as needed. Create technical documentation (architecture diagrams, configuration notes, data mappings, and admin guidance) and enablement materials. Stay current on Quantexa features, accelerators, and best practices; share learnings and contribute reusable assets (demo datasets, templates, reference architectures). Qualifications Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field (or equivalent practical experience). 5+ years of experience in solution engineering, technical consulting, or implementation roles delivering data/analytics platforms. Hands-on experience with the Quantexa platform (configuration, data pipelines, entity resolution, network analytics) and the ability to explain technical concepts to non-technical audiences. Strong understanding of data integration patterns (batch/streaming), ETL/ELT concepts, APIs, and data quality/lineage practices. Proficiency with modern engineering tools and delivery practices (e.g., Git, CI/CD pipelines, artifact repositories) and comfort working in agile delivery models. Experience with big data and distributed processing concepts (e.g., Spark) and familiarity with Scala and/or Python. Experience working on cloud computing platforms (Azure preferred). Excellent written and verbal communication skills, with proven ability to support workshops, communicate technical concepts clearly, influence stakeholders, and drive closure on action items. Preferred Skills Experience in financial crime, fraud, AML transaction monitoring, or customer intelligence use cases. Experience designing entity resolution and graph/network analytics solutions, including tuning and evaluation approaches. Exposure to MLOps/ModelOps, feature engineering, and model integration patterns in production environments. Certification in Quantexa or related data analytics technologies is a plus. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs: