Risk Management - Card Merchant and Auto - Vice President

Job Responsibilities: Lead production of the credit reserve loss forecast for Chase’s Auto Finance portfolio Analyze underlying reasons and quantification of emerging risk inclusive of macro-economic trends and industry risk Work with Finance, Collections, and Risk strategy to understand changes in the portfolio or strategies and apply overlays as needed Work with Risk modeling team to make sure model is working as desired and provide inputs for the improvement on a regular basis Create presentations for the senior management and present the forecast with a clear storyline and data support Enhance consistency and efficiency across existing processes and reporting to meet changing needs of the business. Be self-motivated individual with ability to work on multiple projects with limited guidance Mentor and coach junior analysts to help them develop their risk management skills and loss forecasting knowledge Partner closely with other strategy areas of Risk, Modeling, Marketing, Finance, Legal & Compliance to coordinate integration of risk appetite framework into credit reserve strategies. Support launch of new products and channels by evaluating potential credit reserve scenarios given loss projections Support ongoing internal and external audits by maintaining strong controls and documentation Required qualifications, capabilities, and skills 6+ years of relevant credit management, loss forecasting, statistical modeling, or related analytical experience Bachelor’s degree in a quantitative discipline (e.g. Finance, Mathematics, Statistics, Economics), or related field Strong analytical and problem-solving skills Strong communication skills to present to and collaborate with business partners and model end-users and interpersonal skills a must including the ability to explain and/or present analysis Ability to think outside the box to tackle emerging risk and help influence and shape decisions for senior executives Data mining skills, specifically: SAS, SQL, Python, Excel, Microsoft Office, and database software applications Flexible and able to handle multiple tasks and a changing environment Independent decision-making skills Demonstrated experience in applying analytics to solve business problems efficiently and pragmatically through structured problem-solving approaches Preferred qualifications, capabilities, and skills Advanced degree in a quantitative discipline (e.g. Finance, Mathematics, Statistics, Economics), or related field Prior financial services experience in credit card, home lending or auto preferred Knowledge of consumer credit risk management; Auto business experienced preferred