The Credit Forecast Team support the US credit forecasting home lending division in execution of their processes through analytical insights, new age technologies and predictive analysis.

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