Quantitative Engineering, Credit Risk Strat, Dallas, Associate

CREDIT RISK STRATS, RISK, ASSOCIATE

The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high-net-worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Bangalore and other major financial centers around the world.

We are currently seeking candidates for the position of Associate in Credit Risk Strats team within the Risk Division.

The Credit Risk Strats team is a multidisciplinary group of quantitative experts focusing on market risk and capital models. The team is primarily responsible for designing, implementing and maintaining quantitative measures such as Value-at-Risk, Stress Tests and Capital.

Responsibilities

The responsibilities can include:

• Developing, refining and maintaining robust and production quality credit risk models and capital models. This involves identifying market risk factors for various financial products (derivatives) and building mathematical models to capture their economic and statistical characteristics.
• Implementing, testing and productionizing models and analytics. This involves prototyping models, implementing them and designing tests to ensure the quality of implementation as well as tests for the continuous functioning of the models.
• Providing high quality documentation on usage of models and quality control of models.
• Performing exotic structure pricing analyses, risk and capital impact analyses.
• Interact with various other groups such as risk managers, senior managers and stakeholders to explain the results of the models and analytics and provide quantitative advice.

Basic Qualifications

• Strong quantitative skills with a PhD degree in a quantitative discipline (Physics, Mathematics, Quantitative Finance, Statistics, Engineering, etc.) or a Master's degree in a quantitative discipline with 2 years of relevant work experience.
• Excellent command of mathematics, modeling and numerical techniques. Good knowledge of statistics, time series analysis, econometric modeling and probability theory.
• Strong programming skills and experience with an object-oriented programming language (Java, C++ etc.).
• Knowledge of derivative pricing theory and market risk models.
• Strong written and verbal communication skills - ability to explain complex quantitative concepts to a non-technical audience.

Please note that we will only respond to those resumes for which we have an interest. Goldman Sachs is an Equal Employment Opportunity Employer and does not discriminate in employment on the basis of age, race, color, gender, national origin, disability, veteran status, or any other basis that is prohibited by applicable law.