
Card Forecasting Portfolio Analytics
4 days ago
As an employee in the Loss Forecast and Portfolio Analytics team, you'll work to provide oversight and drive production of the credit loss forecast and CECL forecast for all JPMorgan Chase & Co. credit cards.
In this highly visible role, you'll:
- Actively help determine the loss forecasting results and drivers. This information will be presented to executive management and other internal clients
- Understand the impact of model updates and drive creation of overlays
- Identify and size the impact of emerging risks in Card portfolio
- Identify key trends happening in the card portfolio and its impact on the losses and profitability and baseline and stress scenarios
- Participate in cross-functional communications with Risk Management, Finance, Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives
- Lead advanced analyses to assess relationships and patterns driving loss performance
- Produce the loss forecast and maintenance of associated loss models
- Help spearhead best in class documentation and operational risk and audit controls surrounding the loss forecasting and LLR
**Qualifications**:
- A Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required. Advanced degree preferred
- 8+ years of Credit Risk Management, Statistical Modeling, Marketing Analytics and/or Consulting experience
**Essential skills**:
- Strong knowledge of Python, SAS or SQL required
- Strong analytical, interpretive, and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
- Excellent oral and written communication and presentation skills
**Preferred skills**:
- Prior exposure to credit forecasting or underwriting of unsecured lending products like credit card, personal loans or BNPL
- Some exposure to automation and dashboard creation
- Strong P&L knowledge and understanding of drivers of profitability
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