Associate - 6988997

Job Description

Job Duties: Associate with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Telecommuting permitted 20% of the time from within the Salt Lake City metropolitan area. Responsible for providing 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. Innovate and design new analytics and visuals, leveraging internal and external programming languages and software. Use finance, economics, mathematics, programming and logical thinking to find solutions to a broad range of problems, in a dynamic, fast-paced environment. Analyze, visualize and manage sets of data used in our 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. Engage with colleagues around the globe, across divisions and with external stakeholders of the firm, such as regulators and rating agencies. 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 Computer Science, Mathematics, Statistics, Business Analytics, or a related field and one (1) year of experience in the job offered or a related field or Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Mathematics, Statistics, Business Analytics, or a related field and three (3) years of experience in the job offered or a related field. Must have one (1) year (with Master's) or three (3) years (with Bachelor's) 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.

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