Senior Financial Risk Analytics Engineer

Senior Financial Risk Analytics Engineer Country:
United States of America 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 The Senior Financial Risk Analytics Engineer plays a critical role in supporting the Bank’s reserving, stress-testing, underwriting, and financial forecasting activities. This position is responsible for designing, developing, maintaining, and enhancing data workflows, analytical solutions, and credit loss models that support regulatory compliance, risk management, and strategic decision-making. Working closely with Finance, Risk, IT, Data Management, and business partners, this role transforms complex business requirements into scalable analytical and technology solutions that drive actionable insights across the organization.

Position Summary Research, scope, and manage the business requirements, workflows, data needs, resource requirements, and implementation plans for CECL credit loss models supporting stress-testing, reserving, and underwriting activities.

Design, develop, code, implement, and maintain analytical models and supporting infrastructure.

Develop and maintain expert knowledge of Webster’s data systems, databases, tools, and reporting environments.

Design, build, and maintain robust data workflows and automated processes that support forecasting, reserving, and risk management activities.

Collaborate with IT, Data Management, Finance, Risk, and business partners to develop and enhance analytical solutions and reporting capabilities.

Create user-friendly reports, dashboards, and data visualizations to support decision-making and performance monitoring.

Anticipate, identify, and resolve data quality, workflow, and reporting challenges.

Maintain comprehensive work papers, model documentation, testing results, and change management records in accordance with governance, audit, and regulatory requirements.

Author reports documenting model design, development, implementation, testing methodologies, and ongoing model enhancements.

Build and maintain strong relationships with Lines of Business, Finance, Risk, IT, and Data partners to ensure analytical and software development requirements are effectively delivered.

Lead and/or participate in Model Risk Management, Executive Management, Audit, Regulatory, and cross-functional planning meetings.

Support initiatives across one or more key areas including Research & Development, Quarterly Production, and Credit Scorecard development and maintenance.

What You Bring To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field.

- Required Master's degree in a quantitative discipline.

- Preferred Professional Experience
10+ years of experience working with complex relational database management systems, including Oracle, SQL, or similar platforms. Required
10+ years of…