Moodys Analytics

Position Title/Short Description

Full Text of JOE Listing:

We will be conducting interviews at the AEA/ASSA meetings in Atlanta, GA from January 4-6, 2019

Moody’s Analytics helps capital markets and risk management professionals worldwide respond to an evolving marketplace with confidence. The company offers unique tools and best practices for measuring and managing risk through expertise and experience in credit analysis, economic research, and financial risk management. By providing leading-edge software, advisory services, and research, including the proprietary analysis of Moody’s Investors Service, Moody’s Analytics integrates and customizes its offerings to address specific business challenges. Moody's Analytics is a subsidiary of Moody's Corporation (NYSE: MCO), which reported revenue of over $4.2 billion in 2017 employs approximately 11,900 people worldwide and maintains a presence in 41 countries. Further information is available at www.moodysanalytics.com.

Moody’s Analytics traces its roots to Moody’s KMV Research group, a pioneer in the quantification of credit risk. We construct quantitative models that estimate default and recovery risk, price credit instruments, enable credit portfolio management, assess commercial real estate risk, and facilitate asset and liability management. Our objective is to create models that are accurate and forward-looking, yet practical, robust, and transparent.

As a Research Associate, you will join our Quantitative Research team which has a rich history of providing forward-looking research and thought leadership in the credit risk arena. The team comprises of members with diverse backgrounds in fields such as finance, economics, econometrics, statistics, engineering, real estate, geography, accounting, and mathematics. As a part of this team, you will leverage your skills and expertise and support our continued innovation in credit risk research.

Locations: Opportunities available in San Francisco and New York.

Specific responsibilities may include:
• Conducting sophisticated theoretical and empirical research on measurements of credit risk, fixed income valuation, commercial real estate research, and enterprise risk management;
• Collaborate with financial researchers and data analysts on research projects;
• Partner with engineering teams to deploy completed research through various technology channels’;
• Partner with marketing, sales, product management, client service teams, and clients on the education and implementation of risk management technology;
• Present research findings to technical and non-technical audiences internally and externally.

Qualifications:
• Ph. D., or have completed all coursework required by a Ph.D. program, in Business, Finance, Economics, Accounting, Statistics or a closely related quantitative field;
• Research experience in econometric and statistical modeling;
• Experience with programming tools such as Python, SAS, R, or Matlab;
• Strong written and oral communication skills.

Other desirable qualifications:
• Research experience in financial accounting, actuarial science, asset pricing and/or corporate finance;
• Experience leveraging techniques in machine learning and artificial intelligence.

For more information on Moody’s Analytics:
Company: http://www.moodysanalytics.com
Research Group: http://www.moodysanalytics.com/Insight/Quantitative-Research.aspx

Application Process: Apply below through JOE system

Deadline: November 23, 2018

We are an equal opportunity employer M/F/D/V.

For over 100 years, Moody’s success has been built on the diversity of thought and differing perspectives. We foster an inclusive work environment where all views matter and we proactively promote a culture where all employees can achieve their career goals. Moody's takes pride in maintaining a balanced and diverse workforce.

“Moody’s and our leadership team are committed to making diversity and inclusion part of the fabric of our organization. This helps create an environment that maximizes every employee’s contribution, widens the leadership pipeline and ultimately increases the quality of our opinions, products, and services.” Ray McDaniel, President & CEO

A great employee experience:
• Workplace flexibility
• Women in leadership training
• Employee resource groups (ERGs) including Multicultural, LGBTA, Veterans, Women’s, and Generational.
• Working Mother 100 Best Companies (2017)