Staff Data Scientist (Quantitative Researcher)

Location: New York, NY office; in-person attendance required at least 3 days per week

Base pay: $217,000–$255,000 USD in Zone 1; $191,000–$224,000 USD in Zone 2; $170,000–$199,000 USD in Zone 3. Additional bonus opportunities, equity, and benefits are available.

Company

Robinhood is a fintech company building accessible investing products and portfolio management tools for everyday customers.

What you will do

• Develop, refine, and maintain complex portfolio construction factor models with investment leadership.
• Analyze large and unconventional datasets to identify market patterns, develop valuation strategies, and improve mathematical models.
• Backtest and implement financial models and quantitative signals in live trading environments.
• Research quantitative finance methods and apply them to investment decisions and portfolio model development.
• Partner with Product and Engineering on complex projects and investment product launches.
• Work with Legal and Compliance on policies and procedures for new features and methodology changes.

Requirements

• 5+ years of experience in quantitative research, quantitative portfolio construction, or machine learning, preferably in financial services.
• Experience deploying machine learning models, research, or quantitative signals into live investing or production environments.
• Strong proficiency in Python and SQL for quantitative modeling, statistical analysis, and large-scale datasets.
• Strong foundation in statistics, machine learning algorithms, and pattern recognition.
• Ability to explain complex modeling, statistical, and investment concepts to Engineering, Product, and Compliance partners.
• Ability to work independently, take ownership, and deliver critical business milestones in ambiguous situations.

Culture & Benefits

• Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
• Health insurance, including 100% employee coverage and 90% dependent coverage.
• Access to AI tools and continuous AI skill-building.
• Flexible lifestyle wallet for wellness, learning, and other expenses.
• Paid time off, company holidays, sick time, parental leave, life and disability insurance, fertility benefits, and mental health benefits.
• Office experience with catered meals, events, and comfortable workspaces.