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 a Loss Forecasting Risk Analytics - Associate within the Business Banking Credit Forecast and Portfolio Analytics team, you will play a crucial role in overseeing and producing the credit forecast and loan loss reserve (LLR). You will actively help determine the loss forecasting results and levers, participate in cross-functional communications, lead advanced analyses, and produce the loss forecast. This role provides an opportunity to apply your strong analytical, interpretive, and problem-solving skills, and to contribute to our team's commitment to best in class documentation and audit controls.

Job responsibilites:

Execute credit loss forecasting models to forecast credit losses and allowance for the Chase Business Banking portfolio supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite and Budget  Actively help determine the loss forecasting results and levers. This information will be presented to executive management and other internal clients Model diagnostics and liaison with modelling team to propose changes to model for accuracy at granular segments; Maintenance of existing models, identification of opportunities and issues, and proposing effective solutions 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 Process automation, using Excel / VBA and/or programming languages like Python/SAS Spearhead best in class documentation for audit controls surrounding loss forecasting and reserves Expected to work on multiple projects with limited guidance

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 3+ years of credit risk analytics, loss forecasting, statistical modeling, model execution and/or consulting experience Proficient in programming languages like Python/SAS /SQL Highly proficient 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 both operational and financial areas Well-organized and structured with strong communication and presentation skills

Preferred qualifications, capabilities, and skills

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