Staff Quantitative Researcher

As a Staff Quantitative Researcher at Robinhood, you report to the Chief Investment Officer and shape the company's investment product offerings. The Investment Strategy team expands access to sophisticated investment advice by turning high-quality portfolio management into a scalable, intuitive experience for everyday customers. You will build complex portfolio construction factor models, identify critical areas for methodology improvement, and design high-performing investment solutions while collaborating closely with Product, Engineering, Compliance, and Legal to launch these products.

What you'll do

• Partner with the Chief Investment Officer and investment leadership to develop, refine, and maintain complex portfolio construction models
• Work with large datasets, including unconventional data sources, to predict and test statistical market patterns, conceptualize valuation strategies, and improve mathematical models
• Backtest and implement financial models and signals in a live trading environment
• Continuously research and analyze new approaches to building portfolio models, applying knowledge of existing and emerging quantitative finance principles, theories, and techniques to inform investment decisions
• Partner with product and engineering teams to design and execute on complex projects and product launches
• Assist with reviews by Legal and Compliance to develop written policies and procedures when new features are introduced or methodology changes are developed

What you bring

• 5+ years of quantitative research, quantitative portfolio construction, or machine learning experience, ideally within asset management, a broker-dealer, an RIA, or broader financial services
• Experience taking machine learning models, research, or quantitative signals into a live investing or production environment
• Strong proficiency in Python and SQL for quantitative modeling, statistical analysis, and working with large-scale datasets
• Strong grounding in statistics, machine learning algorithms, and pattern recognition
• Outstanding communication skills, with a proven ability to translate complex modeling, statistical, or investment concepts for software engineering, product, and compliance partners
• Comfort with ambiguity, high personal ownership, and the ability to work independently to deliver on critical business milestones

What we offer

• Base pay of $217,000-$255,000 USD (Zone 1: Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC), $191,000-$224,000 USD (Zone 2: Denver, CO; Westlake, TX; Chicago, IL), or $170,000-$199,000 USD (Zone 3: Lake Mary, FL; Clearwater, FL; Gainesville, FL), plus bonus opportunities and equity
• 100% paid health insurance for employees with 90% coverage for dependents
• Employer-paid life and disability insurance, fertility benefits, and mental health benefits
• Lifestyle wallet, a highly flexible benefits spending account for wellness, learning, and more
• Access to the best AI tools on the market and continuous AI skill-building for every employee
• Time off including company holidays, paid time off, sick time, and parental leave
• 401(k) matching
• Exceptional office experience with catered meals, events, and comfortable workspaces

This role is based in the New York, NY office, with in-person attendance expected at least 3 days per week.

About Robinhood

Robinhood's mission is to democratize finance for all. The company builds investment products and tools designed to reach and support millions of people, combining rigorous investment thinking with mobile-first product design to make sophisticated investing accessible to everyday customers.