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 (foleon.com)

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.

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 [redacted] to discuss your needs.