JPMorgan Credit Risk Loss Forecasting - Associate 

India, Karnataka, Bengaluru 

77314578

Job responsibilities

• 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
• involve in determining the loss forecasting results and levers. This information will be presented to executive management and other internal clients
• Diagnose Model 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
• Manage 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 yrs of credit risk analytics, loss forecasting, statistical modeling, model execution and/or consulting experience
• Proficient in programming languages like Python/SAS /SQL
• Expertise in SAS and/or SQL programming (ORACLE, Teradata) is required.
• 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:

• Experience working with partners in different geographical locations, particularly in India and the US, is a plus.
• Advance degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field is preferred.
• Programming language experience including Python/ R is a plus.
• Knowledge of regulatory standards (IFRS9/CECL/CCAR is preferred).
• Experience in mortgage, performing mortgage servicing, or risk analytics is highly desirable.