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 a professional 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 will get to spearhead control framework within our function. You will be responsible for execution of the processes through analytical insights, predictive analysis and newer technology 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 product portfolio supporting regulatory exercises like CCAR, CECL, Firmwide Risk Appetite and Budget Determine the loss forecasting results and levers. You will be required to present to senior management and other internal stakeholders.Diagnose the Model 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 bachelor’s or master’s Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required. Minimum 6 years of relevant experience in Credit Risk Management, Marketing Analytics and/or Consulting experienceStrong 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 areasExcellent 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