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CCB- Risk - Mortgage Loss Forecasting Vice President

Req #: 170114764
Location: Columbus, OH, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:
Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. 
 
Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others
 
The Risk Loss Forecasting Associate is responsible for providing risk analytical support for the consumer mortgage and home lending businesses . The team is responsible for developing mortgage delinquency and modification models, producing monthly finance and risk forecasts and quarterly stress test forecasts.  The team develops model improvements, performs model backtesting, and produces or enhances model documentation and governance processes.  The team summarizes the forecasts and presents results to senior leadership.
 
Responsibilities include:
  • analyze and interpret big data and its impact in both operational and financial areas following comprehensive risk principles and procedures
  • provide analytical support for developing, implementing, calibrating, and monitoring default forecasting models based on statistical modeling and analytics, and business knowledge of large scale data manipulation
  • conduct complex risk analysis, to provide management with business insights, recommendations of strategies and business actions for profitable growth opportunities, consumer credit quality and behavior trends, desired risk/return relationships and portfolio performance.
  • assist in the production of monthly and quarterly delinquency forecasts for the mortgage and home equity portfolios
  • assist in the generation of periodic monitoring reports on model tracking and portfolio performance
  • participate in the production model documentation to senior management
  • 1-3  years of work experience in credit risk analytics including data analytics, forecasting, and/or modeling for US consumer credit products (mortgage/auto/card)
  • Masters degree in quantitative field, such as statistics, probability, mathematics, econometrics
  • Advanced or better understanding of Microsoft Excel, including complex formulas.  Visual Basic programming a plus.
  • Strong working knowledge and at least 1 year practical experience processing, manipulating, and massaging large scale datasets in SQL and SAS.
  • Experience data mining, analyzing trends, summarizing findings and producing executive level reporting.
  • Prior mortgage or home equity credit risk management experience a plus.
  • Strong project management, communication skills (oral and written), multi-tasking and time management.
  • Ability to manage multiple tasks at the same time and work against tight deadlines a strong plus.
  • Prior experience in automating and consolidating reports is a plus.
  • Candidates will also be expected to demonstrate an ability to learn new concepts quickly, flourish in a dynamic team environment, excel at problem solving – specifically finding creative solutions to complex problems, and collaborate well with counterparties in other areas of the firm such as servicing, finance, and risk management.
 
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