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**Analytics & Reporting - Job Description**
**About Goldman Sachs**
The Goldman Sachs Group, Inc. is a bank holding company and a leading global investment banking, securities and investment management firm. We provide a wide range of services to a substantial and diversified client base that includes corporations, financial investors, governments, non-profit organizations and high net worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Tokyo, Hong Kong, Singapore, Dallas, Bengaluru, Mumbai and other major financial centers around the world.
**Risk Management at Goldman Sachs**
Goldman Sachs serves our clients across multiple business areas (1st line businesses) and geographies. In the normal course of activities, the firm incurs risk by committing capital to service clients. However, we endeavor not to undertake risk in form or amount that may materially impair (a) the firm’s capital and liquidity position; (b) the firm’s ability to generate revenues even in a stressed environment; or (c) damage the firm’s reputation. In evaluating our risk appetite, Goldman Sachs recognizes that our ability to safely take risk must be evaluated in the context of our overall control environment.
Risk management is a 2nd line control function that oversees the activities of the 1st line businesses. The job of the Risk Management organization is to identify the risks incurred through business activity (Risk Identification), establish the risk appetite for these risks and ensures compliance with the risk appetite (through measuring, monitoring and limiting/controlling the risk at the firm). Risks are classified into the major risk types of Credit, Market, Liquidity, Operational, and Model.
**Risk Engineering Introduction**
Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering, as a whole, is responsible for designing, implementing, executing, reviewing, interpreting, explaining and communicating risk & capital metrics used to independently ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering accounts for approximately 600 of the 1300 employees in the Risk Division, and is responsible for providing the Chief Risk Officer, senior management, regulators, and other stakeholders with high quality risk deliverables required to keep the firms activities within its defined risk appetite and comply with regulatory requirements. To fulfill the Risk Division’s mission, Risk Engineering: (1) builds and maintains services to identify risks; (2) accesses internal and external data; (3) develops models; and, (4) leverages services, data and models to compute, review and publish risk deliverables.
**Analytics & Reporting**
Capital Risk Analytics and Reporting (CRAR), within A&R is responsible for reviewing, publishing, interpreting and communicating the firm’s independent and authoritative risk & capital measures, which includes:
- Enhancing and managing processes that quantify, review, explain & convey insight for risk & capital measurements for a large, diverse set of financial products or activities covering the whole firm. Either on an activity by activity basis or in aggregate. This involves developing and utilizing tools & signals to assist understanding risk & capital metrics, at varying levels of aggregation across the firm, in order to discover insight while ensuring liquidity metrics continue to operate in line with intent
- Understanding financial & non-financial risk by analyzing pricing, risk & capital model outputs to evaluate, explain and justify features observed in the firm’s liquidity risk data
- Providing independent risk & capital metric process consulting for new or existing business activities in the firm
- Providing quantitative and qualitative risk analysis, including the use of risk modeling tools to help estimate the financial risk of the firm’s transactions
- Developing & maintaining engaging approaches to share curated risk insights through interactive dashboard tools
- Automation engineering to improve control, reduce operational risks & costs and enhance the firm’s metric timeliness & availability increasing awareness of significant risks
- Testing, developing & integrating new/updated workflows and documentation
- Overseeing the activities covering a group of products / markets, and providing technical and decision-making judgment and guidance and organizational infrastructure
- Performing anomaly detections in large data sets, investigating the cause and recommending corrective actions
- Liaising with groups such as Modelers/Strats, Technologists, Trading & Investing businesses, Operations & Controllers to understand & explain observations in Risk data.
- Coordinating with firm internal governing bodies such as Risk Committees and executive members of t
