Risk-Dallas-Associate, Software Engineering-9658243

Job Duties: Associate, Software Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. Assist in designing and implementing high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Deliver regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. Work with internal teams to develop solution designs and perform User Acceptance Testing in coordination with other Engineering teams in order to integrate and validate newly developed applications. Build robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics​ for financial & non-financial risk, risk capital and regulatory reporting. Analyze quantitative risk metrics using financial models such as Value at Risk (VaR) and Stress Test measures, to estimate market risk impact on clients and the Firm.

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and one (1) year of experience in job offered or a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Finance, Mathematics, or a related field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master’s degree) OR three (3) years of experience (with a Bachelor’s degree) with the following skills: programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as Python, Java, C++, SQL and R; developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages; assessing market risk measures using VaR, stress testing and greeks; utilizing statistics, time series analysis, and numerical algorithms; and developing risk analytics and interpretation & productivity tools for cultivating insights into risk & capital metric data.

©The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.