Vice President-Credit Risk A&R

The Risk division at Goldman Sachs is responsible for managing credit, market, operational risk, model risk, independent liquidity risk, and insurance across the firm. Analytics & Reporting (A&R) is a crucial group within Risk Engineering in the Risk Division of Goldman Sachs. The primary objective of this group is to provide a comprehensive view of the firm's risk profile to senior leadership, investors, and regulators. This enables them to make informed and timely risk management decisions. Risk Engineering is a team of quantitative experts responsible for producing independent risk & capital metrics for the firm. They model, produce, review, interpret, and communicate risk & capital metrics to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. The insights provided by Risk Engineering are essential for the Chief Risk Officer, senior management, regulators, and other stakeholders. As a member of the A&R team, your role will involve delivering critical regulatory and risk metrics & analytics across various risk domains such as market, credit, liquidity, operational, and capital. You will be responsible for providing regular reporting, customized risk analysis, systematically generated risk reporting, and risk tools. Key Responsibilities: - Delivering regular and reliable risk metrics, analytics & insights based on a deep understanding of the firm's businesses and client activities. - Building robust, systematic & efficient workflows, processes, and procedures for the production of risk analytics for financial & non-financial risk, risk capital, and regulatory reporting. - Ensuring the quality, timeliness, and completeness of the underlying data used for producing risk analytics. Qualifications, Skills & Aptitude: - A Masters or Bachelors degree in a quantitative discipline like mathematics, physics, econometrics, computer science, or engineering. - Entrepreneurial, analytically creative, self-motivated, and team-oriented mindset. - Excellent written, verbal, and team-oriented communication skills. - Experience with programming for extract transform load (ETL) operations and data analysis using languages such as Python, Java, C++, SQL, and R. - Proficiency in developing data visualization and business intelligence solutions using tools like Tableau, Alteryx, PowerBI, and front-end technologies. - Working knowledge of the financial industry, markets, products, non-financial risk, mathematics including statistics, time series analysis, and numerical algorithms. - Minimum of 5 years of financial or non-financial risk industry experience. Goldman Sachs is a global investment banking, securities, and investment management firm committed to diversity, inclusion, and providing growth opportunities for its employees. If you believe you have the qualifications and skills for this role, we encourage you to apply and be part of our dynamic team. ,