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Employer: Moody’s Corporation

Expires: 09/26/2021

Who We AreMoody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more at Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace. TeamsIn this role, you would have the opportunity to work with one of our teams within our various operating units such as banking, commercial real estate, or predictive analytics. 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. Roles and Responsibilities·      Regression modelling·      Build empirical models to forecast performance·      Execute financial testing during the product release circle·      Evaluate test results using quantitative analysis·      Create automation tools to facilitate the tests Requirements·      Pursing a Masters or PhD degree in Financial Engineering, Operations Research, Computer Science, Management Information Systems, Statistics or other quantitative fields·      Strong programming and database skills·      Exposure or academic training in risk models, quantitative software testing, fixed income analysis and financial risk modelling·      Analytical skills and persistence in problem solving·      Excellent communication skills in both verbal and writing