Associate with Goldman Sachs & Co. LLC in New York, New York. Multiple Positions Available. Quantitative Engineer on team, which creates external digital products for clients to interact with the team’s trading services. Apply quantitative modelling, financial mathematics, data analysis, and computer programming skills to design and develop quantitative and technological solutions to complex business problems in support of the Firm’s global markets business. Contribute to the development of clie... more details
Job Duties: Associate with Goldman Sachs & Co. LLC in New York, New York. Multiple Positions Available. Quantitative Engineer on team, which creates external digital products for clients to interact with the team’s trading services. Apply quantitative modelling, financial mathematics, data analysis, and computer programming skills to design and develop quantitative and technological solutions to complex business problems in support of the Firm’s global markets business. Contribute to the development of client-facing risk analytics and the product deployed internally across our global trading businesses. Translate user requirements to underlying design/solution to develop specifications. Work with architecture team to design and build internal and 3rd party data integration on our digital storefront. Contribute to the build out of the client adoption plan and gathering key data and analytics integration/APIs trials. Collect feedback from clients and actioning the items in the storefront roadmap and providing client support to enable future scalability of user adoption. Identify ways to improve end user experience and analyze usage of ML/AI techniques on system logs to detect issues in advance.
Job Requirements: Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Statistics, Quantitative/Computational Finance, Quantitative Economics, Computer Science/Engineering or a related field and two (2) years of experience in the job offered or in a related role. Prior experience must include two (2) years of experience with: developing multi-asset class analytics and factor risk analytics products; modeling various asset classes (such as bonds, IR derivatives, credit derivatives, FX or commodities) and equity factor suites; developing platforms and products from inception to commercialization; working with programming languages including Python, Java, R, or C++; working on architecting highly distributed and scalable risk management and data management platforms; and working with APIs, JSON, and web services.
Salary Range: The expected annual base salary for this New York, New York, United States-based position is $128,000 - $210,000. 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.
