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CCB - Risk - Basel Capital Modeler-Associate

Req #: 170076684
Location: Columbus, OH, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations

worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial

banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average,

JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent

corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan

Chase & Co. is available at


Chase Consumer & Community Banking serves nearly 66 million consumers and 4 million small businesses with a broad

range of financial services through our 137,000 employees. Consumer & Community Banking Risk Management partners

with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Our Risk Management professionals

work directly with Consumer Banking, Business Banking, Auto/Student Loan, Card and Commerce Services, Chase

Wealth Management and Mortgage Banking to minimize, monitor and control the probability of risk events and mitigate

the impact of risk events that do occur.


The Capital Risk Modeler is responsible for designing, developing and maintaining capital models for

Mortgage accounts. The position will document and communicate model results and insights to senior staff in

Consumer Risk, the Consumer LOBs, or Model Review and Governance.


More specifically, the Risk modeler will:

· Provide support for model development, implementation, performance monitoring and calibration.

· Handle a variety of analytic projects as well to support capital modeling efforts and business needs. Such projects

may include data research and leveraging capital models to solve business problems.

· Be responsible for compiling and documenting modeling and analytical results in an organized way.

The responsibilities include compiling appropriate data, applying multidimensional data aggregation, performing profile

analysis, and evaluating impacts using optimization/sequencing tools and/or classification and regression algorithms.

- Minimum of a Master's degree in a field that provides a strong background in finance, economics and statistical

methods. Ph.D. degree is strongly preferred.

- Minimum of 3-year experience in developing loan-level loss forecasting models and credit risk models within financial


- Possess a thorough understanding of the risk drivers of the models and their applications in estimating default and

prepayment risk and potential losses.

- Successful candidates will have had statistics or econometrics courses at the graduate level. Besides basic statistics,

the incumbent should have a solid theoretical knowledge of regressions with categorical dependent variable such as

logistic and probit and regressions with limited depended variable such as Tobit and survival modeling.

- Knowledge of linear and non-linear regressions and time series econometrics is also desired.

- Intermediate level of SAS skills, especially in modules such as SAS/Base, SAS/STAT, SAS/Macro, data mining and

simulation because SAS is heavily employed in creating data sets, ad hoc analyses and modeling.

- Handle projects independently with a minimum of oversight and supervision and should be able to make contributions

to the group's knowledge base by proposing creative and valuable ways for approaching problems and projects.

- Excellent communication skills are required, as the incumbent will frequently be called upon to make presentations to

the senior management and to write documents that describe work products in a clear manner.


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