Credit Risk Loss 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 an Associate in the Consumer Credit Forecasting team, you will be executing credit risk loss forecasting models, diagnosing model accuracy, and leading advanced analyses to assess relationships and patterns that promote loss performance. Your role will also involve managing process automation and leading the documentation for audit controls surrounding loss forecasting and reserves. This position offers an exciting opportunity to contribute to our team's success and develop your skills in a fast-paced environment.

Within Consumer Credit Forecasting is the Business Banking Loss Forecasting team.  Our team is accountable for model execution and providing reasonable forecasts of delinquencies, charge off and recovery of charged off assets throughout the year for Regulatory (CCAR and Risk Appetite), capacity planning, business planning exercise such as year-end budget and mid-year forecast in partnership with P&A, collections staffing plans, etc. by various macro-economic scenarios. The team is also responsible for monitoring the health of the portfolio and updating the business on any concerning trends. 

The candidate will be part of the core forecasting team and will support the US credit forecasting functions and be responsible for execution of their processes through analytical insights, new age technologies and predictive analysis.

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.