Staff Data Scientist

Who you are

• 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 the job involves

• As a Staff Data Scientist (Quantitative Researcher), you will report to the Chief Investment Officer and play a key role in shaping our investment product offerings
• In this role, you will build complex portfolio construction factor models, identify critical areas for methodology improvement, and design high-performing investment solutions. You will also collaborate closely with Product, Engineering, Compliance, and Legal to launch these products and bring them directly to our customers
• At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams
• 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