This position will be tasked to take up critical loss forecasting analytics and reporting for the CCAR, CECL, Budget and Risk Appetite processes, as well as to bring about improvements in the overall forecasting process using business knowledge as well as advanced analytics and reporting techniques.

Job Responsibilities:

Execute on several loss forecasting models with accuracy and deep understanding about the inputs. Conduct advanced analytics to interpret the loss forecasting results and drivers. This information will be presented to executive management and other internal stakeholders. Participate in cross-functional communications with Risk Management & Finance to explain the forecasted losses and accordingly align the business strategies of other teams. 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 process Create or update dashboards to support regular portfolio health assessment Support internal and external audit requirements for the in-house loss forecasting models at regular intervals.

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, and/or Consulting experience Strong knowledge of Python, SAS, SQL and MS Office 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 qualifications, capabilities, and skills

Knowledge of regulatory modeling (IFRS9/CECL/CCAR preferred) Knowledge of Home Lending industry in USA