Senior Financial Risk Analytics Engineer

Banco Santander • Boston, CT

2d • Onsite

About The Position

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.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field. - Required
• 10+ years of experience working with complex relational database management systems, including Oracle, SQL, or similar platforms. - Required
• 10+ years of software engineering, data engineering, or analytics experience within a commercial bank or financial institution. - Required
• Proficiency in SAS and R/Python or similar analytical programming languages. - Required
• Experience designing, developing, and maintaining large-scale data workflows and automated data pipelines. - Required
• Strong expertise working with relational databases, SQL development, and large-scale data infrastructures.
• Knowledge of software engineering principles, coding standards, testing methodologies, and development best practices.
• Strong analytical, quantitative, and problem-solving skills.
• Ability to gather, document, and translate business requirements into scalable technical solutions.
• Strong organizational and time management skills with the ability to manage multiple priorities and deadlines.
• Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Demonstrated ability to work independently, conduct research, and develop innovative solutions.
• Strong attention to detail, initiative, and commitment to delivering high-quality results.
• Ability to identify opportunities for process improvements and recommend scalable solutions.

Nice To Haves

• Master's degree in a quantitative discipline. - Preferred
• 5+ years of modeling, quantitative analytics, or financial analytics experience within a banking or financial services environment. - Perferred
• Experience supporting reserving, stress-testing, underwriting, forecasting, or risk management solutions. Perferred
• Experience participating in Model Risk Management, audit, regulatory examination, or governance processes. - Perferred
• Experience developing relationships and collaborating with cross-functional stakeholders across Finance, Risk, IT, Data, and Business functions. Perferred
• Experience with cloud-based computing platforms such as AWS, Azure, or GCP. - Preferred
• Experience with full-stack software development and CI/CD pipeline implementation. - Preferred
• Experience designing and maintaining data orchestration workflows using tools such as Apache Airflow or similar platforms.
• Knowledge of reporting, business intelligence, and dashboarding tools, including Tableau, Qlik Sense, or comparable solutions.
• Understanding of commercial and consumer banking products, operations, processes, and risk management practices.
• Knowledge of statistical modeling techniques, machine learning methodologies, optimization techniques, and predictive analytics.
• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
• Advanced knowledge of statistical theory, including linear models, categorical data analysis, time-series forecasting, optimization techniques, and machine learning methodologies.
• Experience supporting CECL, stress-testing, underwriting, credit scorecards, or other regulatory modeling frameworks.
• Experience with cloud-native analytics and modern data engineering architectures.
• Proven ability to think creatively and develop innovative approaches to solving complex business and data challenges.

Responsibilities

• 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 workpapers, 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.

Benefits

• A fair and competitive rewards package that reflects the impact you create and the value you deliver.
• Benefits are designed to support you, your family and your well-being, now and into the future.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior