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VP-Consumer Risk Modeling Manager, JPMorgan Chase, Columbus, OH
VP-Consumer Risk Modeling Manager – 070027554
Columbus, OH Corporate Center
Description
- The incumbent for this position is responsible for
managing the development and validation of statistical risk measurement
and prediction models for Chase Home Lending. Specifically,
the incumbent will be responsible for:
- Managing a team of economists, statisticians and
programmers. The incumbent will be expected to recruit, train and
mentor the staff.
- Managing the designing and development of default and
delinquency models for the mortgage and home equity portfolios. The
model will be used to support both underwriting and account management
(collections, loss mitigation and line management)
- Interacting with various groups within Chase Home
Lending, such as Mortgage Risk Management, Home Equity Risk Management,
and Default Services, to identify analytic and modeling needs, propose
solutions to modeling and valuation issues, initiate new projects and
educate model users.
- Prepare seminars and technical bulletins for a
diverse audience (Senior Managers to Junior Modelers) on topics such as
modeling methodology and best practice guidelines.
- Document and communicate model results and insights to senior staff in Chase Home Lending and the Investment Bank.
Qualifications
The incumbent should have a minimum of a
Master’s degree in a field that provides a strong background in
statistical methods such as Statistics or Economics. A Ph.D. is
strongly preferred.
While the incumbents experience and accomplishments will be the
determining factor, the incumbent must have the following
qualifications:
- Minimum of 5 years experience in the development,
use, and validation of statistical models for measuring risk within
financial institutions.
- Prior experience managing and running a statistical modeling team
- Experience building default and delinquency models
for mortgage or other consumer credit products. Experience in modeling
economic capital allocation desirable but not required.
- Experience estimating and validating logistic regression models
- Expert in the use of software for data handling and model development.
- Excellent communication skills, as the incumbent will
frequently be called upon to make presentations to senior management
and to write documents that describe work products in a clear manner.
- Must be able to handle projects with a minimum of
oversight and supervision and must be able to make contributions to the
group’s knowledge base by proposing new and valuable ways for
approaching problems and projects.
Job category: Accounting/Finance/Audit/Risk
Locations: US-OH-Columbus
Organization: Retail Financial Services
Schedule: Full-time
Job Type: Standard
Shift: Day Job
Employee Status: Regular
Travel: No
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