Staff Data Scientist (Quant) - Portfolio Modeling Pro

Robinhood; Bellevue, Northern (WA, KY); Hybrid; USD 217,000 - 255,000; Full time

Benefits offered by this job

Health insurance

Equity compensation

Bonus programs

401(k) matching

Catered meals/office experience

Job summary

Robinhood in New York, NY is seeking a Staff Data Scientist (Quantitative Researcher) to shape investment products by building portfolio construction factor models and testing new signals. You’ll collaborate with Product, Engineering, Compliance, and Legal to bring solutions to customers.

You have 5+ years in quantitative research or ML in financial services, strong Python/SQL skills, and a track record of implementing models in live trading environments.

Qualifications

• 5+ years of quantitative research, quantitative portfolio construction, or machine learning experience.
• 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.

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.

Skills

Quantitative research

Portfolio construction

Machine learning

Communication

Tools

Python

SQL

Job description

Robinhood in New York, NY is seeking a Staff Data Scientist (Quantitative Researcher) to shape investment products by building portfolio construction factor models and testing new signals. You’ll collaborate with Product, Engineering, Compliance, and Legal to bring solutions to customers.

You have 5+ years in quantitative research or ML in financial services, strong Python/SQL skills, and a track record of implementing models in live trading environments.