Senior Quantitative Research Scientist — Portfolio Modeling

Triwill Group; New York, Northern (NY, KY); Hybrid; USD 217,000 - 255,000; Full time

Benefits offered by this job

100% paid health insurance

401(k) matching

Equity ownership

Wellness benefits

Job summary

Robinhood is hiring a Staff Data Scientist (Quantitative Researcher) to shape investment product offerings from the New York office. You will build portfolio construction models, test market patterns, and design high-performing investment solutions while collaborating with product, engineering, and compliance teams.

In-person attendance is expected at least 3 days per week. Produce rigorous research, translate complex ideas for cross-functional partners, and contribute to scalable, accessible

Qualifications

• 5+ years of quantitative research, portfolio construction, or ML experience in financial services.
• Experience deploying ML models or signals in live investing environments.
• Strong Python and SQL for quantitative modeling and data analysis.
• Solid grounding in statistics, ML algorithms, and pattern recognition.
• Excellent communication skills to translate complex concepts to partners.
• Ability to work independently and own critical milestones.

Responsibilities

• Develop, refine, and maintain complex portfolio construction models with leadership oversight.
• Use large and unconventional data sources to test market patterns and valuation strategies.
• Backtest and implement financial models in a live trading environment.
• Research new quantitative approaches to improve portfolio models and inform investments.
• Collaborate with product and engineering teams to execute complex projects and launches.
• Support Legal & Compliance reviews when introducing new features or changing methodologies.

Skills

Python

SQL

Machine learning

Statistics

Communication

Ambiguity tolerance

Job description

Robinhood is hiring a Staff Data Scientist (Quantitative Researcher) to shape investment product offerings from the New York office. You will build portfolio construction models, test market patterns, and design high-performing investment solutions while collaborating with product, engineering, and compliance teams.

In-person attendance is expected at least 3 days per week. Produce rigorous research, translate complex ideas for cross-functional partners, and contribute to scalable, accessible