Staff Data Scientist (Quantitative Researcher)

Robinhood · New York, NYsenior

In short

▸Científico de datos de alto nivel en inversión cuantitativa, construyendo modelos de cartera para productos de inversión escalables.
▸Trabajas con datos masivos y modelos en entornos de producción, colaborando con producto, ingeniería y cumplimiento.
▸Reportas directamente al CIO y tienes impacto directo en productos que llegan a millones de usuarios.

Proficiency in English is required.

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What they ask for

✓5+ años en investigación cuantitativa, construcción de carteras o machine learning en servicios financieros.
✓Experiencia probada llevando modelos de ML o señales cuantitativas a entornos de inversión en producción.
✓Dominio de Python y SQL para análisis estadístico y trabajo con grandes conjuntos de datos.
✓Fundamentos sólidos en estadística, algoritmos de ML y reconocimiento de patrones.
✓Capacidad para colaborar con equipos de producto, ingeniería, cumplimiento y legal.
✓Experiencia en backtesting y desarrollo de modelos financieros en entornos de trading real.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLMachine LearningStatistical AnalysisLarge-Scale DatasetsPortfolio ConstructionBacktestingFinancial ModelingQuantitative FinanceProduction Environments

Who should you write to at Robinhood?

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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Investment Strategy team is expanding access to sophisticated investment advice by turning high-quality portfolio management into a scalable, intuitive experience for everyday customers. Sitting at the intersection of markets, product, and customer experience, our team combines rigorous investment thinking with a mobile-first product design. We are dedicated to building accessible investing tools that reach and support millions of people! 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. This role is based in our New York, NY office, with in-person attendance expected at least 3 days per week. 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. What you’ll do • 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. What you bring • 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

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