Credit Risk Forecasting Associate

Credit Risk Forecasting Associate

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 
• Determine the loss forecasting results and levers. This information will be presented to executive management and other internal clients
• Diagnose 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
• 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
• Minimum 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)