Description
Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Modeling Analytics Senior Associate in the Loss Forecast and Portfolio Analytics team, you will work to provide oversight and drive production of the credit loss forecast and loan loss reserve (LLR) for all JPMorganChase credit cards.
Job Responsibilities
Actively help determine the loss forecasting results and drivers. This information will be presented to executive management and other internal clients
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
Required qualifications, capabilities, and skills
A Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required.
3+ years of Credit Risk Management, Statistical Modeling, Marketing Analytics and/or Consulting experience
Strong knowledge of Python, SAS, SQL and MS Office
Strong P&L knowledge and understanding of drivers of profitability
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 qualifications, capabilities, and skills
Advanced degree preferred