• Associate, RD121018SF

    Location(s) US-NJ-Jersey City
    Job ID
    Schedule Type
    Full Time
    Business Unit
    Market Risk
    Employment Type

    Associate with Goldman Sachs & Co. LLC in Jersey City, NJ


    Work Schedule: 40 hours per week (9:00 a.m. to 6:00 p.m.)


    Duties: Associate with Goldman Sachs & Co. LLC in Jersey City, NJ. Develop, implement, and maintain production quality quantitative measures of market risk (“Risk Models”) for capital and stress testing in order to assess the market risk of the Firm’s businesses. Identify market risk factors for various financial products, analyze the availability and quality of historical data inputs to the models, and build models to capture their economic and statistical characteristics. Implement models in production using sophisticated software, such as SQL, and object-oriented computer languages: develop a comprehensive software code to execute the model in production environment, design tests to ensure the accuracy of implementation, and test for the continuous functioning of the models. This involves prototyping models, implementing them, designing tests, and subjecting the models to stress-tests and Monte-Carlo simulations to ensure the quality of the implementation as well as the tests for the continuous functioning of the models. Maintain and support model performances: calibrate models, examine test performances, update historical time series as market evolves, and adapt the changes in market dynamics to ensure appropriate model outcome. Address model limitations/uncertainties revealed from the independent model review process to further enhance the models and perform quantitative analysis on questions raised by Regulators. Participate in the governance of risk models, including working with model risk management, market making businesses, technology and department management. Provide comprehensive documentation of the models covering model purpose, model specification, testing description, and empirical evidence. Communicate complex mathematical ideas with internal/external stakeholders such as risk managers, market making businesses, technology, and senior department management. Perform research to analyze risks related to the modeling approach and impact of new products in an investment context. Build scalable and modular cross-asset class analytics to inform market risk stakeholders and senior management.


    Job Requirements: Master’s degree (U.S. or foreign equivalent) in Financial Engineering, Mathematics, or a related quantitative discipline. Three (3) years of experience in the job offered or related quantitative risk management position. Prior work experience must include three (3) years of experience with: analyzing regression models; programming in an object-oriented computer language such as C++, data structures, algorithms, or similar; working with SQL to query and manipulate large (millions of rows of data) database tables; performing large scale Monte-Carlo simulations of complete portfolios; explaining complex quantitative concepts to a non-technical audience, both verbally and written; building scalable and modular cross-asset class analytics; designing, implementing, and documenting risk models and performing related quality control, including working with exotic derivative pricing models; developing strategies for scheduling, prioritizing, and completing several complex projects concurrently; and utilizing parallel and cloud computing to solve computationally expensive problems.


    The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

    © The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.