BB Risk Forecasting Sr Associate

Job Description

The Credit Forecasting team is part of the broader Consumer Credit Risk Management organization. Our team provides reasonable forecasts of delinquencies charge off and recovery of charged off assets throughout the year for Regulatory (CCAR and Risk Appetite) capacity planning and year-end budget in partnership with P&A collections recovery teams by means of various macro-economic scenarios. The team is also responsible for monitoring the health of the portfolio and updating stakeholders and senior management on emerging trends.

As aprofessional within the Consumer Credit Forecasting team you will be responsible for reviewing the model inputs executing credit loss forecasting models diagnosing model accuracy and leading analyses to assess relationships and patterns promoting loss performance of our product portfolio. You willget tospearhead control frameworkwithin our function.Youwill be responsible for execution of the processes through analytical insightspredictive analysis andnewertechnology applications. You may also be involved in process reengineering efforts to identify streamline and automate redundant activities. Above all this role provides an exciting opportunity to develop your skills in a fast-paced environment.

Job Responsibilities:

• Execute credit loss forecasting models to forecast credit losses and allowance for our productportfolio supporting regulatory exercises like CCAR CECL Firmwide Risk Appetite and Budget.
• Determine the loss forecasting results and levers.Youwill be required to present tosenior management and other internalstakeholders.
• DiagnosetheModel parameters and liaison with modelling team to propose changes to model for accuracy at granular segments.
• Participate in cross-functional communications with Risk Management Finance Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives.
• Conduct macro sensitivity analytics loss and allowance attribution deep dives and storyboarding.
• Lead advanced analyses to assess relationships and patterns driving loss performance.

Required qualifications capabilities and skills.

• A bachelors or masters Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required.
• 4 years of Credit Risk Management Marketing Analytics and/or Consulting experience
• Strong knowledge of Python PySpark 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)
• Credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage Credit Card Automotive Business Banking Wealth Management)
• Working Hours : 1PM to 10PM IST