Risk Analytics & Reporting Vice President Birmingham
Birmingham - UK
Job Summary
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
- 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 but not limited to Python Java C SQL and R.
- 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.
- 5 years of financial or non-financial risk industry experience. Market Risk experience preferred
Required Experience:
Exec
Key Skills
About Company
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.