Requirements

Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering
Experience with programming for extract transform load (ETL) operations and data analysis 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
Working knowledge of the financial industry, markets, products, and associated non-financial risk
Working knowledge of mathematics including statistics, time series analysis and numerical algorithms
5+ years of financial or non-financial risk industry experience
Entrepreneurial, analytically creative, self-motivated and team-oriented
Excellent written, verbal and team-oriented communication skills

What You'll Be Doing

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

Experience in developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages.
Working knowledge of the financial industry, markets and products and associated non-financial risk.

Goldman Sachs offers a number of opportunities to grow professionally and personally, from training and development to firmwide networks, benefits, wellness programs, personal finance offerings, and mindfulness programs
Committed to fostering and advancing diversity and inclusion in the workplace and beyond
Committed to finding reasonable accommodations for candidates with special needs or disabilities during the recruiting process