Vice President, Analytics & Reporting, Risk Engineering
Location: Dallas, Texas, United States
Opportunity Overview
Corporate Title: Vice President
Office Location(s): Dallas
Job Function: Software Engineering
Division: Risk Division
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.
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
- 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
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 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.
- 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.
- (Vice President) 5+ years of financial or non-financial risk industry experience.