Sr. Analyst, Risk Modeling - PPNR
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-03-14
Listing for:
Banco Santander SA
Full Time
position Listed on 2026-03-14
Job specializations:
-
Finance & Banking
-
IT/Tech
Job Description & How to Apply Below
Boston:
Dallas-Corporate THXposted on:
Posted Todayjob requisition :
Req
1553297
Sr. Analyst, Risk Modeling - PPNRCountry:
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…
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