Modis, Inc.


Name of Position: Statistical Modeler/ Risk (mid level 3-5 years of experience)

 

Abstract of Position:

This position will be responsible for reviewing and validating credit risk models, including Basel II models. The successful candidate will utilize his/her modeling and analytical skills and business knowledge to conduct in-depth analysis of a variety of different credit risk models toward the goal of providing a constructive effective challenge to model developers, as well as ensuring compliance with the bank’s model policy and regulatory rules. Specific duties will include assessing key underlying modeling assumptions, validating the model’s structure/data/code, reviewing the model’s development process & documentation, evaluating the model’s outputs, and producing comprehensive validation reports that include identification of issues, development of appropriate solutions, and recommendations to business units and senior management. This individual is expected to interact with model builders effectively and be capable of relating Basel-specific models to models used for other business purposes such as loss forecasting or account management. The candidate must have demonstrated knowledge of and experience in scorecard modeling, econometric methods, statistical simulation, and data sampling. In addition, the candidate should have a good experience managing and working with large databases, effective written and verbal communication skills, and a strong teamwork spirit.

 

Number of Openings: 1-2 contract openings (3-6 months long with strong possibility for extension)

 

Contact Person: Tina Perry Clark

 

Telephone, E-mail, Postal Address: (415) 228-4286; tina.clark@modis.com; San Francisco, CA

 

Pay Rate: $45-55 w-2 (depending on experience)

 

Skills/Education Requirements:

-         Advanced degree (PhD preferred) in a quantitative discipline (e.g., econometrics, operations research, statistics, finance, mathematics).

-         3+ years of work experience directly related to credit risk management and modeling.

-         Solid programming skills (primarily in SAS) in a PC and Unix environment; ability to work with large data sets and review complex algorithms, as well as validate (replicate) data inputs and model results.

 

Number of Years: 3-5 years

 

Posted 1/9/2012