JPMorgan Business Banking Loss Forecasting - Associate 

India, Karnataka, Bengaluru 

755531986

JPMorgan Chase & Co. has earned a reputation as an institution that maintains high standards of transparency and accountability. Building and protecting that reputation requires commitment from everyone to make our firm the best it can be.

In addition to fulfilling the skills and qualifications required for this role, the ideal candidate should possess the following personality traits:

• Integrity
• Accountability
• Collaborative
• Respect
• Community Awareness

In this highly visible role, you'll:

• 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
• 5+ 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)