JPMorgan Loss Forecasting Model Analytics Associate 

India, Karnataka, Bengaluru 

385313509

As an Associate in Loss Forecasting Modeling Analytics within the Consumer Credit Risk Management team, you will execute credit loss forecasting models, diagnose model accuracy, and lead analyses to identify relationships and patterns that influence the loss performance of our product portfolio. You will also have the opportunity to establish a control framework within our function. Your responsibilities will include executing processes through analytical insights, predictive analysis, and the application of new technologies. This role offers an exciting opportunity to enhance your skills in a dynamic and fast-paced environment.

Job responsibilities

• Execute credit loss forecasting models to forecast credit losses and allowance for our product portfolio supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite and Budget
• Determine the loss forecasting results and levers. You will be required to present to senior management and other internal stakeholders
• Diagnose the Model parameters and liaison with modelling team to propose changes to model for accuracy at granular segments
• 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

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
• Minimum 4 yrs of banking analytics, product / revenue analytics, FP&A, and/or consulting experience for a Associate role
• Minimum 2 yrs of banking analytics, product / revenue analytics, and/or consulting experience for Associate role
• Proficiency 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 either operational and financial areas
• Well-organized and structured with strong communication and presentation skills

Preferred qualifications, capabilities, and skills

• Working Knowledge of regulatory modeling (IFRS9 / CECL / CCAR)
• Credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage, Credit Card, Automotive, Business Banking, Wealth Management, Private Banking)
• Working knowledge of P&A, product analytics, statistical modeling, model execution
• Actual work experience in one of the following – Python / SAS / SQL / Alteryx / Cloud application architecture