Vice President - 8183624
Goldman SachsAbout the role
Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process. Mentor junior and mid-level team members.
Job Requirements: Bachelor’s degree (U.S. or foreign equivalent) in Electronic Engineering, Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and five (5) years of experience in job offered or a related quantitative engineering role. Prior experience must include five (5) years of experience with: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; and developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.
Salary Range: The expected annual base salary for this New York, New York, United States-based position is $165,000 – $300,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits: Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here: https://www.goldmansachs.com/careers/discover/benefits-summary-US.pdf
©The Goldman Sachs Group, Inc., 2024. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.
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