MOODY'S KMV

                 Quantitative Research Associate -
                      Commercial Real Estate


     Join Moody's KMV, the world's leading provider of
     quantitative credit risk solutions for credit risk
     investors and originators. Moody's KMV's products are
     widely used around the globe, including global, national
     and regional banking institutions, buy/sell side
     organizations and corporations, to assess a vast array of
     credit sensitive instruments from bonds and loans to credit
     derivatives in a comprehensive framework.

     Moody's KMV invites applications for a Quantitative
     Research Associate - Commercial Real Estate, in San
     Francisco, California or New York, New York.


     JOB DESCRIPTION:

     This is a quantitative research position with a focus on
     analysis of Commercial/Residential real estate loans and
     associated structures like CMBS and RMBS. The research
     projects involve modeling and estimation of metrics like
     default probabilities, loss given default, correlations and
     credit spreads for real estate related loans. The
     successful candidates should be familiar with real estate
     related data sources, latest advances in academic real
     estate/fixed income/macroeconomics literature and have an
     aptitude to apply his/her knowledge to the area of credit
     risk modeling of real estate loans.

     This position offers a unique opportunity to participate in
     state of the art research with our renowned quantitative
     research team in the area of credit risk, one of the most
     exciting areas of financial services industry today.

     Initial responsibilities include:

     - Conduct in-depth quantitative research work on modeling
       default probabilities, loss given default and credit
       spreads of commercial and residential mortgages. The
       models may follow option theoretic approaches or
       econometric approaches. Evolve detailed procedures for
       estimating these models using modern econometric
       techniques.
     - Analytical and empirical research on Commercial and
       Residential Mortgage backed securities including study of
       correlations among underlying mortgages and embedded
       prepayment options.
     - Acquire and maintain real estate related databases.
     - Build strong domain expertise in Moody's KMV credit risk
       methodologies to assist in new research and development.
     - Actively contribute to real estate related consulting
       assignments executed by research services group.
     - Partner closely with internal groups such as Technology,
       Product Management and Sales & Client Support on projects
       from a research perspective.


     MINIMUM QUALIFICATIONS:

     - Ph.D. in finance/economics with a real estate focus from
       a top-tier program with a significant understanding of
       quantitative Finance.
     - 2+ years of experience in real estate/financial research
       (industry or academic), and econometric modeling.
     - Experience with statistical analysis and programming
       tools such as SAS, Splus or Matlab.
     - Experience with financial databases a plus.
     - Excellent written and oral communication skills.


     FURTHER INFORMATION:

     For more information on Moody's KMV, please visit:

     Website:

                http://www.moodyskmv.com

     MKMV Research:

                http://www.moodyskmv.com/research/index.html

     Moody's KMV will be conducting interviews at the AFA/ASSA
     Meetings in New Orleans, LA from January 4-6, 2008.


     APPLICATION PROCEDURE:

     Interested applicants should submit the following:

     1. Curriculum vitae and cover letter
     2. Copy of dissertation proposal or a completed
        dissertation and copies of relevant research papers
     3. Letters of recommendations

     Please email the requested items to Moody's KMV:

     CONTACT:       AFA Recruiting Committee/CRE
     Email:         MAILTO:careers@mkmv.com

     Moody's KMV is an AAP/EEO employer.




Posted 12/9/07

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