Economist - VP - Credit Risk

Goldman Sachs
New York - United States
S: Competitive

CRMA Overview:
Credit Risk Management & Advisory (CRMA) is responsible for assessing, monitoring and managing credit risk at the firm. CRMA, which is staffed globally with offices in New York, London, Hong Kong, Tokyo, Salt Lake City and other major financial centers, is independent of the Business Units and reports to the Firm's Chief Risk Officer and Chief Financial Officer. CRMA leverages its extensive expertise in financial, credit and risk analysis to provide astute and objective judgments to the firm and its clients, in either a transactional or advisory capacity.

Since CRMA has been structured to work closely with almost every division of the firm, its professionals gain diverse financial experience and a broad perspective on how the firm functions as a whole. Its unique position keeps CRMA at the forefront of the firm's strategic developments, and the interaction with numerous divisions.

Economist Opportunity:
The Credit Risk Management and Advisory Dept at Goldman Sachs is seeking an economist to join its Credit Risk Analytics Group (CRAG). CRAG is responsible for developing quantitative risk management models for the measurement of counterparty credit risk. CRAG is also responsible for developing and implementing credit risk capital calculations, regulatory policy, margin calculations, and scenario analysis. The economist would be responsible for constructing a 3-year forecast for macroeconomic and financial variables for major regions of the world as well as 3-year macroeconomic scenarios that would represent different stressed macroeconomic environments. The economist would also build econometric models for stress testing and other risk management applications.

Qualifications:
•Candidates should have Ph.D in economics or finance.
• Several years of experience analyzing and forecasting the macroeconomies of major countries, with an emphasis on forecasting financial variables.
•Candidate should have practical experience in times series econometrics as well as programming experience in a programming language such as c++, java, matlab, or python. •Since the role will require the presentation and documentation of the developed forecasts and scenarios to an interdisciplinary audience, strong presentation and writing skills are important attributes for successful candidates.

Job summary