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
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 in Python and SQL for ETL operations and data analysis. Experience in using languages such as R, Java, C++ is beneficial
Experience in developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages
1-3 years of experience, preferably in financial, regulatory or consulting environment
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
Perks and Benefits
Goldman Sachs fosters and advances diversity and inclusion in the workplace
Training and development opportunities
Firmwide networks to grow professionally and personally
Wellness and personal finance offerings
Mindfulness programs
Reasonable accommodations for candidates with special needs or disabilities