Risk - Salt Lake City - Associate, Software Engineering - 777858

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
Junior
Fintech • Financial Services
The Role
Develop and deliver data-driven risk analytics, visualizations, and dashboards. Analyze large datasets, detect anomalies, and recommend corrective actions. Collaborate with traders, bankers, risk modelers, and technology to support firmwide risk management and improve data quality and reporting.
Summary Generated by Built In

Job Duties: Associate, Software Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Provide data-driven insights and effective technologies for firmwide risk management. Identify, design, and implement the best means of delivering risk information through compelling narratives, tools and visualizations to increase understanding and awareness of risk. Assist with innovating and designing new analytics and visuals, leveraging internal and external programming languages and software. Analyze, visualize, and oversee sets of data used in risk management and control functions. Provide a quantitative application to storytelling, leveraging risk engineering processes to maximize significance, quality, efficiency, speed, and reliability while ensuring clear accountability and attribution. Perform anomaly detections in large data sets, investigating the cause and recommending corrective actions. Work in close collaboration with bankers, traders, and portfolio managers as well as risk modelers and technology across the firm.

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Mathematics, Finance, Electronics & Communications Engineering, Computer Science, Statistics, Business Analytics, or a related field and one (1) year of experience in the job offered or in a related field OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Finance, Electronics & Communications Engineering, Computer Science, Statistics, Business Analytics, or a related field and three (3) years of experience in the job offered or in a related field. Prior employment must include one (1) year (with Master’s degree) or three (3) years (with Bachelor’s degree) with: working with users to understand business requirements to design and develop low-cost and adoptive technical solutions; risk management at a large financial institution or a consulting organization, including experience in liquidity, regulatory, or credit risk; querying and aggregating data from a database, performing trend analysis, and visualizing results within a dashboard for the analysis of financial models used in credit risk management; examining risk factors impacting credit exposure; analyzing and explaining market trends to senior risk managers and financial regulators; and working with data management, including data flows, data mining, or data modeling.

©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.

Skills Required

  • Master's degree in Mathematics, Finance, Electronics & Communications Engineering, Computer Science, Statistics, Business Analytics, or related field with one year of relevant experience OR Bachelor's degree in same fields with three years of relevant experience
  • Experience working with users to understand business requirements and design and develop low-cost, adaptable technical solutions
  • Experience in risk management at a large financial institution or consulting organization, including liquidity, regulatory, or credit risk
  • Experience querying and aggregating data from databases, performing trend analysis, and visualizing results within dashboards for financial/credit risk models
  • Experience examining risk factors impacting credit exposure and analyzing and explaining market trends to senior risk managers and regulators
  • Experience with data management tasks including data flows, data mining, and data modeling
  • Experience performing anomaly detection in large datasets, investigating root causes, and recommending corrective actions
  • Ability to collaborate closely with bankers, traders, portfolio managers, risk modelers, and technology teams

Goldman Sachs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.

  • Healthcare Strength Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
  • Parental & Family Support Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
  • Retirement Support The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.

Goldman Sachs Insights

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The Company
HQ: New York, NY
67,118 Employees

What We Do

At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com

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