Vice President-Credit Risk analytics & Reporting

The Risk division at Goldman Sachs is responsible for credit, market, and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures that the firm's senior leadership, investors, and regulators have a comprehensive view of the positional, market, and client activity drivers of the firm's risk profile, enabling them to make actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. They model, produce, review, interpret, explain, and communicate risk & capital metrics and analytics to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics, and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. **Role Responsibilities:** - Delivering regular and reliable risk metrics, analytics & insights based on a deep understanding of the firm's businesses and its client activities. - Building robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital, and regulatory reporting. - Attesting to the quality, timeliness, and completeness of the underlying data used to produce these analytics. **Qualifications, Skills & Aptitude:** - Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science, or engineering. - Entrepreneurial, analytically creative, self-motivated, and team-oriented. - Excellent written, verbal, and team-oriented communication skills. - Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as Python, Java, C++, SQL, and R. - Experience in developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages. - Working knowledge of the financial industry, markets, products, and associated non-financial risk. - Working knowledge of mathematics including statistics, time series analysis, and numerical algorithms. - 5+ years of financial or non-financial risk industry experience. Goldman Sachs is committed to fostering diversity and inclusion in the workplace and beyond by offering growth opportunities professionally and personally. The firm provides training and development opportunities, firmwide networks, benefits, wellness, personal finance offerings, and mindfulness programs. Learn more about the culture, benefits, and people at GS.com/careers. Goldman Sachs is dedicated to accommodating candidates with special needs or disabilities during the recruiting process. Learn more: [Disability Statement](https://www.goldmansachs.com/careers/footer/disability-statement.html) The Goldman Sachs Group, Inc., 2023. All rights reserved.,