Staff Quantitative Researcher

Join Robinhood as a Staff Data Scientist (Quantitative Researcher) and play a key role in shaping our investment product offerings. You will build complex portfolio construction factor models, identify areas for methodology improvement, and design high-performing investment solutions. Collaborate closely with Product, Engineering, Compliance, and Legal to launch these products and bring them directly to our customers.

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.
• 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.

Requirements

• Strong proficiency in Python and SQL for quantitative modeling, statistical analysis, and working with large-scale datasets
• Outstanding communication skills, with a proven ability to translate complex modeling, statistical, or investment concepts for software engineering, product, and compliance partners
• 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
• Strong grounding in statistics, machine learning algorithms, and pattern recognition
• Comfort with ambiguity, high personal ownership, and the ability to work independently to deliver on critical business milestones
• Experience taking machine learning models, research, or quantitative signals into a live investing or production environment

Pay

USD 217,000 - 255,000