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Quant Modeling Lead - Vice President
Job in
Covington, Kenton County, Kentucky, 41011, USA
Listed on 2026-05-31
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-05-31
Job specializations:
-
Business
Data Scientist
Job Description & How to Apply Below
At JPMorgan, we are not looking for job seekers. We seek change makers who want to make an impact!!
As a Quant Modeling Lead within the Portfolio Risk Modeling team, you will play a pivotal role in designing, developing, testing, and validating statistical models for credit loss and P&L forecasting, specifically supporting the bank’s home lending portfolio. This position requires a strategic lead who can effectively collaborate with business stakeholders, conduct in-depth research to address key business questions, and provide insightful analyses and recommendations to senior management.
Job Responsibilities- Lead the design, development, testing, and validation of statistical models for credit loss and P&L forecasting. Ensure models are robust, accurate, and aligned with business objectives.
- Foster strong partnerships with business stakeholders to understand their needs and ensure model outputs are actionable and support strategic decision-making.
- Conduct comprehensive research to address business questions, leveraging advanced modeling techniques and industry best practices and provide clear explanations and intuitive insights to support business decisions.
- Oversee the entire model development process, including data exploration, data pipeline development, quality control, model implementation, performance monitoring, and calibration.
- Collaborate with technology teams to support firm-wide technology enhancements and ensure seamless integration of models into existing systems.
- At least 5 years of statistical modeling experience in the financial industry, with a preference for knowledge in regulatory modeling (CCAR, CECL, Basel) and mortgage industry.
- Strong skills in statistical software and programming languages, including Python, Spark, R, or SAS.
- Master's or Ph.D. in a quantitative discipline such as Statistics, Economics, Finance, Mathematics, or related fields.
- Strong analytical, interpretive, and problem-solving abilities, with the capacity to synthesize diverse information and develop strategic recommendations.
- Excellent communication and interpersonal skills, capable of engaging effectively with stakeholders at all levels.
- Demonstrated ability to work independently, manage projects, and meet deadlines efficiently.
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