Job Description:

The Loss Forecasting team is part of the broader Consumer Credit Risk Management division.  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 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

Manage and enhance the end-to-end control environment for Credit Forecasting across Home Lending (HL) and Business Banking (BB). Own and execute controls activities for CCAR regulatory exercises, CECL, Risk Appetite, and Budget processes. Deliver all control artifacts with appropriate review and governance to downstream stakeholders. Maintain policy-aligned documentation, including process maps, SOPs/runbooks, evidence repositories, and sign-off matrices. Establish and monitor data quality checks, reconciliations, and lineage traceability from source systems to forecast outputs (e.g., Launch Points, MEVs, MRDs). Coordinate pre-implementation change controls and post-implementation validations for model, data, and process changes. 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.

Drive process enhancements by identifying opportunities for efficiency improvements and implementing automation solutions to streamline forecasting activities.

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 Minimum 3 yrs. of Credit Risk Management, product / revenue analytics, and/or consulting experience Strong knowledge of Python/SQL/Tableau/Alteryx/ Cloud application architecture Proficiency in Microsoft Office suite of products (Advanced Excel, VBA and PowerPoint) Strong analytical and problem-solving skills with the ability to interpret large amounts of data and its impact in either operational or financial areas. Well-organized and structured with strong communication and presentation skills.

Additional qualifications, capabilities, and skills that are desirable but not necessary.

Knowledge of regulatory modeling (IFRS9 / CECL / CCAR) Credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage, Credit Card, Automotive, Business Banking, Wealth Management, Private Banking