Risk Analytics Specialist

2 months ago


Birmingham, Birmingham, United Kingdom Goldman Sachs Full time
About the Role

We are seeking a highly skilled Risk Analytics Specialist to join our team at Goldman Sachs. As a key member of our Risk Engineering group, you will play a critical role in ensuring the firm's senior leadership, investors, and regulators have a complete view of the firm's risk profile.

The successful candidate will be responsible for delivering 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.

You will have a unique vantage point in the firm's risk data flows, allowing you to build scalable workflows, processes, and procedures to deliver actionable risk insights.

Key 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.
Requirements
  • Masters or Bachelors degree in a quantitative discipline such as data science, 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.
  • 3+ years of financial or non-financial risk industry experience.
About Goldman Sachs

At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. 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.



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