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JPMorgan Home Lending Risk Forecasting Analytics - Associate 
India, Karnataka, Bengaluru 
820293930

01.09.2024

[3:10 PM] Panwar, Vikas (HR, IND)

As a Loss Forecasting Risk Analytics - Associate you will play a crucial role in overseeing and producing the credit forecast and loan loss reserve (LLR). You will actively help determine the loss forecasting results and levers, participate in cross-functional communications, lead advanced analyses, and produce the loss forecast. This role provides an opportunity to apply your strong analytical, interpretive, and problem-solving skills, and to contribute to our team's commitment to best in class documentation and operational risk and audit controls.

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 required
  • 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

  • Knowledge of regulatory modeling (IFRS9/CECL/CCAR preferred)
  • Knowledge of Stress test preferred