About this role
Job Duties: Associate, Risk Governance with Goldman Sachs Bank USA in Dallas, Texas. Improve fraud detection performance, uncover new fraud pattern, and provide deep qualitative and quantitative insights leveraging advanced data analytics tools and skills. Support the execution of fraud analytics, risk models, rules, and reporting. Collaborate with engineering and operations to develop and execute fraud strategies and capabilities. Maintain external knowledge of regulatory and compliance expectations, industry trends and emerging threats/risks as it relates to fraud risk management. Contribute to the ongoing optimization of the governance structure within the Fraud team, including but not limited to processes, procedures and decision-making forums.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Mathematics, Statistics, Economics, Finance, Information Technology and Management, or a related field, and one (1) year of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Statistics, Economics, Finance, Information Technology and Management, or a related field, and two (2) years of experience in the job offered or in a related role. Prior employment must include one (1) year of experience (with a Master’s) OR two (2) years of experience (with a Bachelor’s) with: utilizing data analytics tools and platforms to design fraud detection strategies; deriving key insights and signals from structured and unstructured data; detecting fraud in transaction categories including ACH, wires, real time payments, and deposits; utilizing SQL, and Microsoft Excel, Word, and PowerPoint to perform fraud pattern analytics and fraud strategy design; and machine learning algorithms for fraud detection.
©The Goldman Sachs Group, Inc., 2026. 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.