Credit Risk Loss Forecasting - Associate

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique opportunity allows you to collaborate with the Business team to provide a comprehensive view. Join us as an Associate in the Consumer Credit Forecasting team, where you will play a crucial role in executing credit risk loss forecasting models, diagnosing model accuracy, and conducting advanced analyses to evaluate relationships and patterns that impact loss performance. Your responsibilities will include managing process automation, leading documentation for audit controls related to loss forecasting and reserves, and contributing to the success of our team in a fast-paced setting. The Consumer Credit Forecasting team includes the Business Banking Loss Forecasting team, which is responsible for executing models and providing forecasts of delinquencies, charge-offs, and asset recovery throughout the year. Working in partnership with various departments, this team monitors the health of the portfolio and communicates any concerning trends to the business. As a member of the core forecasting team, you will support US credit forecasting functions through analytical insights, new technologies, and predictive analysis. Job Responsibilities: - Execute credit loss forecasting models for the Chase Business Banking portfolio to support regulatory exercises such as CCAR, CECL, Risk Appetite, and Budget planning - Analyze loss forecasting results and propose model changes for accuracy at granular segments - Collaborate cross-functionally with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast - Conduct macro sensitivity analytics, loss attribution, and deep dives to assess relationships driving loss performance - Manage process automation using Excel, VBA, Python, or SAS - Develop comprehensive documentation for audit controls related to loss forecasting and reserves - Work on multiple projects with minimal guidance Required Qualifications: - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent - Minimum 3 years of experience in credit risk analytics, loss forecasting, statistical modeling, or consulting - Proficiency in programming languages such as Python, SAS, and SQL - Expertise in SAS and/or SQL programming (ORACLE, Teradata) - Strong analytical and problem-solving skills with the ability to interpret large datasets - Proficient in Microsoft Office products (Advanced Excel, VBA, PowerPoint) - Well-organized with excellent communication and presentation skills Preferred Qualifications: - Experience collaborating with partners in different geographical locations - Advanced degree in Finance, Economics, Statistics, Mathematics, Computer Science, or related field - Programming language experience including Python or R - Knowledge of regulatory standards such as IFRS9, CECL, CCAR - Experience in mortgage, mortgage servicing, or risk analytics is desirable Join our team and be part of a challenging and rewarding environment where you can contribute to our success and develop your skills in credit forecasting and analytics.,