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 Analytics 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.

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.

Benefits:

Moody's offers a comprehensive benefits package including medical, dental and vision coverage with 401k plan (up to 121% match), 15% discount on Moody's stock purchase, Pension Plan, Tuition Reimbursement and Employee discounts to various educational, cultural, arts/entertainment and world class sporting events

Company Profile:

Please submit your resume to the email below for consideration.

Moody's Investors Service is among the world's most respected, widely utilized sources for credit ratings, research and risk analysis. The firm publishes market-leading credit opinions, deal research and commentary, serving more than 9,000 customer accounts at some 2,400 institutions around the globe.

Moody's ratings and analysis track debt covering more than 100 sovereign nations, 11,000 company issuers, 25,000 public finance issuers, and 70,000 structured finance obligations.
Moody's Investors Service is a subsidiary of Moody's Corporation (NYSE: MCO). The corporation had reported revenue of $1.7 billion in 2005.

Additional information about the company is available at www.moodys.com.