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RobinhoodStaff Quantitative Researcher
Robinhood operates an investment platform with the mission to democratize finance for all. The organization is currently seeking a Staff Quantitative Researcher to join its Investment…
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About This Role
Robinhood operates an investment platform with the mission to democratize finance for all. The organization is currently seeking a Staff Quantitative Researcher to join its Investment Strategy team in New York. This position suits quantitative professionals who want to help scale high-quality portfolio management into accessible mobile tools for everyday customers. The person in this role will sit at the intersection of markets, product, and customer experience, reporting directly to…
Job Description
Robinhood operates an investment platform with the mission to democratize finance for all. The organization is currently seeking a Staff Quantitative Researcher to join its Investment Strategy team in New York.
This position suits quantitative professionals who want to help scale high-quality portfolio management into accessible mobile tools for everyday customers. The person in this role will sit at the intersection of markets, product, and customer experience, reporting directly to the Chief Investment Officer.
Core duties involve building complex portfolio construction factor models, analyzing massive datasets, and backtesting quantitative signals for live trading environments. The candidate will work alongside engineering, product, compliance, and legal departments to launch investment products.
Robinhood emphasizes an in-person work culture, requiring staff to be present at the New York office at least three days per week.
Responsibilities
- Develop, maintain, and refine complex portfolio construction models in partnership with the Chief Investment Officer and investment leadership
- Analyze massive and unconventional datasets to uncover statistical market patterns, test valuation strategies, and improve mathematical models
- Backtest and deploy financial models and signals into a live trading environment
- Research new quantitative finance methodologies and apply existing principles to guide investment decisions
- Coordinate with product and engineering units to design and execute project executions and product rollouts
- Collaborate with legal and compliance teams to draft written policies and procedures for new features or methodology updates
Requirements
- Minimum of five years of experience in quantitative research, quantitative portfolio construction, or machine learning within asset management, broker-dealers, RIAs, or financial services
- Demonstrated background in taking quantitative signals, research, or machine learning models into live production or investing environments
- Proficiency in SQL and Python for statistical analysis, large dataset handling, and quantitative modeling
- Solid foundation in machine learning algorithms, pattern recognition, and statistics
- Ability to work independently with high personal ownership and comfort with ambiguity
- In-person attendance in the New York office at least three days per week
Core Skills
Benefits
- Performance-driven compensation including bonus programs, equity ownership, and 401(k) matching
- 100% employer-paid health insurance for employees and 90% coverage for dependents
- Access to market AI tools and continuous AI skill-building programs
- Flexible benefits spending account known as a lifestyle wallet for wellness and learning
- Employer-paid life and disability insurance, fertility benefits, and mental health support
- Paid time off, sick leave, company holidays, and parental leave
- On-site perks including catered meals, events, and comfortable workspaces
Frequently Asked Questions
What is the location and remote work policy for this role?
This position is based in the New York, NY office and requires in-person attendance at least three days per week.
What are the experience requirements for the Staff Quantitative Researcher?
Candidates must have 5+ years of quantitative research, quantitative portfolio construction, or machine learning experience within financial services such as asset management, broker-dealers, or RIAs.
What technical skills are needed for this position?
Applicants need strong proficiency in Python and SQL, alongside a solid grounding in statistics, machine learning algorithms, and pattern recognition.
What is the salary range for this job in New York?
The expected base pay range for Zone 1 locations, which includes New York, NY, is $217,000 to $255,000 USD, with additional eligibility for bonus opportunities and equity.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.