11 jobs found

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 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.

Logo: Posting Number: STA00956PO25 Job Family: Information Technology Job Function: Business Data Analysis USC Market Title: IT Business Data Analysis Manager Link to USC Market Title: Job Level: M2 - Managerial Business Title (Internal Title): Database Administrator Lead Campus: Columbia Work County: Richland College/Division: Division of Information Technology Department: IT Enterprise Applications State Pay Band: 9 Approved Starting Salary: $87,231 Advertised Salary Range: $87,231- Salary is commensurate with experience Location of Vacancy: Columbia, SC (on-site) Part/Full Time: Full Time Hours per Week: 37.5 Work Schedule: Standard working schedule: Monday - Friday 8:30am - 5:00pm, with 1 hour for lunch. Must be willing to work a flexible schedule to meet the needs of the Division of IT. Basis : 12 months Job Search Category: Information Technology About University of South Carolina: From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond. Veterans' Preference Statement: The University of South Carolina is committed to equal opportunity and proudly values the skills and experience military veterans bring to our workforce. Across South Carolina, we are making veterans a priority for employment and recognize their vital contributions to our state and our communities. Advertised Job Summary: We're looking for a Database Administrator Lead to oversee the design, optimization, and governance of the university's enterprise data systems. In this pivotal role, you'll help ensure data is secure, reliable, and accessible-empowering insights that drive strategy, innovation, and student success.As part of the Analytics & Data Governance team, you'll partner with data engineers, analysts, and IT leaders to build a modern, high-performing data ecosystem that supports institutional reporting, analytics, and compliance. What You'll Do Lead database architecture, administration, and performance optimization. Manage integrations across cloud and on-premises platforms. Implement robust data security, access controls, and encryption measures. Oversee backup, recovery, and disaster recovery processes. Support data governance, reporting, and analytics initiatives across the university. Monitor and troubleshoot performance issues to ensure system reliability. Evaluate emerging technologies and recommend improvements. What You Bring Bachelor's degree in a related field. 5+ years of relevant database administration experience. Equivalent combinations of education, certifications, training, and experience will be considered. Preferred Qualifications Master's degree in a related field. Professional certifications such as: AWS Certified Database - Specialty Oracle Certified DBA Microsoft Certified: Azure Database Administrator Associate Experience working in higher education or large, complex enterprise environments. Familiarity with data governance frameworks and metadata management. Knowledge of AI/ML-based database performance optimization. Skills That Set You Apart Expertise in database administration, tuning, and optimization. Proficiency with SQL Server, Oracle, Snowflake, Azure, or similar platforms. Deep understanding of data integration, ETL/ELT, and automation. Strong grasp of data modeling, schema design, and query optimization. Experience with compliance and data privacy standards (FERPA, HIPAA). Proven ability to analyze complex problems and document effective solutions. Collaborative and adaptable-able to work effectively with technical and non-technical teams alike. Why Join USC? At the University of South Carolina, you'll be part of a collaborative team committed to supporting world-class education, research, and service. This role offers the opportunity to shape how applications serve our university community and directly impact the student, faculty, and staff experience. Job Related Minimum Required Education and Experience: Requires a bachelor's degree in a job related field and 5 or more years of job related experience, which may be substituted by an equivalent combination of job related certification, training, education, and/or experience. Preferred Qualifications: Master's degree in a related field. Certifications in database technologies (e.g., AWS Certified Database - Specialty, Oracle DBA, Microsoft Certified: Azure Database Administrator). Experience in higher education or large enterprise environments. Familiarity with data governance frameworks and metadata management. Knowledge of AI/ML-driven database optimization techniques. Knowledge/Skills/Abilities: Knowledge of database administration principles, performance tuning, and optimization. Proficiency in managing relational and cloud database platforms (e.g., SQL Server, Oracle, Snowflake, Azure). Understanding of data backup, recovery, and disaster recovery strategies. Experience with database security, access controls, and encryption. Familiarity with data integration, ETL/ELT, and automation processes. Ability to monitor and troubleshoot database performance and availability issues. Knowledge of data modeling, schema design, and query optimization. Understanding of institutional data policies, privacy, and compliance standards (FERPA, HIPAA). Strong analytical, documentation, and problem-solving skills.Ability to collaborate effectively with developers, data architects, and governance staff. Job Duty: Database Administration & Optimization Design, implement, and maintain relational and non-relational databases in cloud and on-premises environments. Optimize database performance, including indexing, partitioning, and query tuning. Monitor database performance and implement necessary improvements to enhance efficiency. Conduct capacity planning and ensure high availability and disaster recovery solutions. Essential Function: Yes Percentage of Time: 35 Job Duty: Data Security & Governance (Provide a minimum of one paragraph of detail.) Implement and enforce database security policies, access controls, and compliance with university and regulatory requirements. Support data governance efforts, including metadata management and data cataloging. Ensure database integrity and consistency across enterprise systems. Essential Function: Yes Percentage of Time: 20 Job Duty: Data Integration & ETL Management Design and manage ETL processes to support data warehousing and analytics initiatives. Collaborate with data engineers and developers to support integrations across multiple systems. Troubleshoot and resolve data pipeline issues to ensure seamless data flow. Essential Function: Yes Percentage of Time: 20 Job Duty: Cloud & Emerging Technologies Support the university's cloud migration strategy by evaluating and implementing cloud-based database solutions. Stay updated on emerging database technologies and recommend innovative solutions to improve data management. Implement automation and DevOps best practices for database management. Essential Function: Yes Percentage of Time: 15 Job Duty: Collaboration & Leadership Provide guidance and mentorship to junior database administrators and data engineers. Work closely with analytics, IT, and business stakeholders to understand data needs and optimize data solutions. Document processes, provide training, and contribute to the overall data strategy of the university. Essential Function: Yes Percentage of Time: 10 Safety Sensitive or Security Sensitive: No Hazardous weather category: Non-Essential Number of Vacancies: 1 Job Open Date: 12/05/2025 Job Close Date: 01/19/2026 Open Until Filled: No Special Instructions to Applicant: Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time . click apply for full job details