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 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.
3+ years of financial or non-financial risk industry experience.

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.

Opportunities to grow professionally and personally through training and development opportunities, firmwide networks, benefits, wellness, personal finance offerings, and mindfulness programs.
Reasonable accommodations for candidates with special needs or disabilities during the recruiting process.