Sr. Analyst, Risk Modeling - PPNR

Banco Santander•Boston, MA

12d•$65,625 - $145,000

About The Position

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 Sr. Analyst, Risk Modeling supports the development, execution, and governance of stress testing and capital planning models, with a focus on PPNR forecasting under CCAR and internal stress testing frameworks. The role ensures models are robust, well-documented, and aligned with regulatory and governance standards.

Requirements

Bachelor's Degree or equivalent work experience: Statistics, Mathematics, Economics or equivalent quantitative discipline. - Required.
3+ Years Risk Management, Risk Modeling - Required.
Strong foundation in econometric and statistical modeling techniques, including regression and time-series analysis, with experience developing forecasting models using large datasets for stress testing or risk management.
Experience performing model diagnostics, backtesting, stability testing, and sensitivity analysis, with the ability to assess both statistical validity and economic intuition of model outputs.
Proficiency in SQL, Python, or SAS for data extraction, transformation, and model development.
Familiarity with CCAR, DFAST, ICAAP, or enterprise stress testing frameworks.
Knowledge of banking products, revenue drivers, and their behavior across economic cycles.
Ability to independently own model components from development through performance monitoring and documentation within a governance-driven environment.
Strong analytical skills with the ability to interpret complex data and translate quantitative results into clear business insights.
Strong verbal and written communication skills, including technical documentation and regulatory-facing materials.
Ability to manage multiple priorities and adapt to changing project demands while working both independently and collaboratively.

Nice To Haves

Master's Degree: Statistics, Mathematics, Economics or equivalent quantitative discipline. - Preferred.
Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
Experience in Microsoft Office products.

Responsibilities

Support the development, estimation, and enhancement of PPNR forecasting models used in CCAR and internal stress testing.
Conduct regression and time-series modeling, including variable selection, sensitivity analysis, and stability testing under supervisory and internal stress scenarios.
Execute stress scenario model runs and support production processes related to CCAR submissions and capital planning cycles.
Perform backtesting and model performance monitoring, including analysis of forecast accuracy, bias, and stability across economic environments.
Prepare and maintain comprehensive model development documentation in accordance with Model Risk Management and regulatory standards.
Support model validation, internal audit, and regulatory examinations by preparing technical materials and responding to inquiries.
Ensure adherence to model governance standards, including version control, change management, and control enhancements.
Contribute to improvements in modeling frameworks, including enhancements to data sourcing, automation, efficiency, and controls.
Analyze and communicate modeling results to senior management, governance committees, and regulatory stakeholders.