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Quant Modeling Lead - Vice President

Job in Covington, Kenton County, Kentucky, 41011, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-05-31
Job specializations:
  • Business
    Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
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.
Required qualifications, capabilities and skills
  • 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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