Sr. Analyst, Risk Modeling - PPNR

Sr. Analyst, Risk Modeling - PPNR

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 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.

• 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.

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.

Bachelor's Degree or equivalent work experience: Statistics, Mathematics, Economics or equivalent quantitative discipline. - Required.

Master's Degree: Statistics, Mathematics, Economics or equivalent quantitative discipline. - Preferred.

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.

It Would Be Nice For You To Have:

• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

• Experience in Microsoft Office products.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly position