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About the Role
Robinhood is building an elite team to solve major financial problems using frontier technologies. The Investment Strategy team aims to democratize finance by providing scalable, intuitive investment advice to everyday customers. This role is crucial in shaping investment product offerings by building complex factor models, improving methodologies, and designing high-performing investment solutions.
Responsibilities
- 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 help design and execute on complex projects and product launches.
- Assist with reviews by Legal & Compliance to develop written policies and procedures when new features are introduced or methodology changes are developed.
Requirements
- 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.
Skills
- Python
- SQL
- Quantitative research
- Quantitative portfolio construction
- Machine learning
- Statistics
- Pattern recognition
- Communication
Location
- New York, NY
Work Type
- Hybrid
Experience Level
- 5+ years
Salary/Compensations
- $217,000—$255,000 USD (Zone 1)
- $191,000—$224,000 USD (Zone 2)
- $170,000—$199,000 USD (Zone 3)
Benefits
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
- 100% paid health insurance for employees with 90% coverage for dependents.
- Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
About the Company
- Robinhood's mission is to democratize finance for all.
- Robinhood is building the future of finance.
- Robinhood is a high-performing, fast-moving team with ethics at the center of everything they do.
Equal Opportunity
- Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws.
- Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best.