Risk Division- Salt Lake City- Associate, Operational Risk

Associate, Operational Risk

Monitor new initiatives and review their proposed fraud controls for both existing and new business lines, challenging the business where appropriate. Analyze existing fraud capabilities and strategies, evaluate their effectiveness and propose alternative controls, when there are opportunities for improvements. Work directly with the Consumer Operations and Fraud Investigations functions responsible for execution of the fraud strategy and collaborate to identify gaps and process improvements. Use a data-driven approach to understand fraud risk and recommend effective identity theft and transaction fraud controls. Review, evaluate and help drive selection of new vendors or technologies to enhance the fraud strategy and mitigate emerging risks. Facilitate operational risk event management data collection, including detailed reviews of specific fraud operational risk issues/events and trends to identify significant or emerging risks and ensure appropriate remediation plans are implemented. Research and remain current on the latest industry fraud trends, emerging fraud risks within business drivers, regulatory and/or industry changes and recommend tools, services and practices for improvement. Work with business units to develop day-to-day risk management metrics which quantify the division's exposure to various types of fraud risk.

Master's degree (U.S. or foreign equivalent) in Economics, Finance, Accounting, Mathematics, Statistics, Engineering, Information Systems, 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 Economics, Finance, Accounting, Mathematics, Statistics, Engineering, Information Systems, 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: using advanced Microsoft Office skills, specifically with Excel (including pivots and VLookups), PowerPoint and Sharepoint; querying databases using SQL; knowledge of financial fraud types, industry fraud trends and fraud prevention and detection tools/vendors; working knowledge of applicable laws, regulations, and relevant industry standards pertaining to consumer/retail banking; presenting with impact and building consensus across senior stakeholder groups for successful challenge of strategy, process and/or procedure changes; applying data science in Python, R or Spark; developing comprehensive risk management reports from large datasets; and experience with consumer financial products such as credit cards, lending products, checking/deposit accounts and/or investment products.

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.