Risk - Analytics & Reporting - Vice President - Birmingham

Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions.

A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. Risk Engineering is a multidisciplinary group responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital.

Role Responsibilities

• Delivering regular and reliable risk metrics, analytics & insights based on 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.
• Working knowledge of the financial industry, markets and products and associated non‑financial risk.
• Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
• 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.
• 5+ years of financial or non‑financial risk industry experience (market risk experience preferred).

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We’re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm‑wide networks to benefits, wellness and personal finance offerings and mindfulness programs.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.