Background
Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firms senior leadership investors and regulators have a complete view of the positional market and client activity drivers of the firms risk profile allowing them to take 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. Risk Engineering is 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. Risk Engineering provides risk & capital metrics analytics and insights to the Chief Risk Officer senior management regulators and other firm stakeholders.
Role Responsibilities
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.
A&R has a unique vantage point in the firms risk data flows that when coupled with a deep understanding of client and market activities allows it to build scalable workflows processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R:
Delivering regular and reliable risk metrics analytics & insights based on deep understanding of the firms 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
Eligible candidates are preferred to have the following:
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 in developing data visualization and business intelligence solutions using tools such as but not limited to Tableau Alteryx PowerBI and front-end technologies and languages.
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 but not limited to Python Java C SQL and R.
Vice President 5 years of financial risk industry experience.
Required Experience:
Exec
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.