Loss Forecasting Model Analytics Associate

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team to provide a comprehensive view. As a Loss Forecasting Modeling Analytics Associate in the Consumer Credit Risk Management team, your primary responsibility will be to execute credit loss forecasting models. You will diagnose model accuracy and lead analyses to evaluate relationships and patterns that impact the loss performance of our product portfolio. Your role will involve spearheading the control framework within our function and executing processes through analytical insights, predictive analysis, and newer technology applications. This position presents an exciting opportunity for skill development in a fast-paced setting. The Loss Forecasting team within Consumer Credit Risk Management is tasked with providing reasonable forecasts of delinquencies, charge-offs, and recovery of charged-off assets throughout the year. These forecasts are essential for regulatory exercises such as CCAR, capacity planning, and budgeting in collaboration with P&A, collections, and recovery teams. Additionally, the team monitors the portfolio's health and communicates emerging trends to stakeholders and senior management. **Job Responsibilities:** - Execute credit loss forecasting models to predict credit losses and allowance for the product portfolio, supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite, and Budget. - Present the results and levers of loss forecasting to senior management and internal stakeholders. - Diagnose model parameters and collaborate with the modeling team to propose changes for accuracy at granular segments. - Engage in cross-functional communications with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast. - Conduct macro sensitivity analytics, loss, and allowance attribution, deep dives, and storyboarding. - Lead advanced analyses to evaluate relationships and patterns driving loss performance. **Required Qualifications, Capabilities, and Skills:** - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training. - Minimum of 4 years of banking analytics, product/revenue analytics, FP&A, and/or consulting experience for a senior Associate role. - Minimum of 2 years of banking analytics, product/revenue analytics, and/or consulting experience for an 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 understand its operational and financial implications. - Well-organized and structured with excellent communication and presentation skills. **Additional Qualifications:** - Working knowledge of regulatory modeling (IFRS9/CECL/CCAR). - Credit risk experience in one or more US consumer credit portfolios. - Working knowledge of P&A, product analytics, statistical modeling, and model execution. - Actual work experience in Python/SAS/SQL/Alteryx/Cloud application architecture. In summary, this role offers a challenging yet rewarding opportunity to contribute to credit loss forecasting models and play a crucial role in the Consumer Credit Risk Management team.,