Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 

As an Associate in Loss Forecasting Modeling Analytics within the Consumer Credit Risk Management team, you will execute credit loss forecasting models, diagnose model accuracy, and lead analyses to identify relationships and patterns that influence the loss performance of our product portfolio. You will also have the opportunity to establish a control framework within our function. Your responsibilities will include executing processes through analytical insights, predictive analysis, and the application of new technologies. This role offers an exciting opportunity to enhance your skills in a dynamic and fast-paced environment.

Within the broader Consumer Credit Risk Management is the Loss Forecasting team.  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.

 

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 story-boarding 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 Minimum 4 yrs of banking analytics, product / revenue analytics, FP&A, and/or consulting experience for a Associate role Minimum 2 yrs of banking analytics, product / revenue analytics, and/or consulting experience for Associate role 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 and financial areas Well-organized and structured with strong communication and presentation skills

Preferred qualifications, capabilities, and skills

Working 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) Working knowledge of P&A, product analytics, statistical modeling, model execution Actual work experience in one of the following – Python / SAS / SQL / Alteryx / Cloud application architecture