Quantitative Data Scientist – New Grad – Two Sigma
Two Sigma is a technology-driven quantitative investment firm with $60B+ in assets under management, applying data science and machine learning to discover systematic trading signals across global equity, futures, and options markets. Founded by John Overdeck and David Siegel, Two Sigma operates at the intersection of finance, mathematics, and distributed computing — running billions of simulated trades daily on massive datasets spanning decades of market history. Two Sigma's culture is academic, collaborative, and deeply data-driven, attracting world-class scientists and engineers. We are hiring New Grad Quantitative Data Scientists to join Two Sigma's systematic investment research teams.
Responsibilities
- Research and develop systematic trading signals from alternative data sources including satellite imagery, web traffic, credit card transactions, and NLP-extracted news sentiment
- Build and backtest quantitative alpha models using Python and Two Sigma's proprietary research platform, evaluating signal decay, capacity, and portfolio impact
- Apply machine learning techniques — gradient boosting, neural networks, Bayesian methods — to predict asset price movements and market microstructure dynamics
- Analyze large-scale financial datasets (tick data, order book snapshots, corporate fundamentals) to identify statistical patterns with predictive power
- Develop statistical frameworks for signal combination, portfolio optimization, and risk factor decomposition
- Collaborate with Two Sigma's portfolio management team to translate research findings into live trading strategies
Requirements
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Physics, or Electrical Engineering (top academic record expected)
- Exceptional quantitative and statistical reasoning — probability theory, linear algebra, time-series analysis, and stochastic processes
- Python proficiency for data analysis and machine learning (numpy, pandas, scikit-learn, statsmodels)
- Experience with ML model development, backtesting frameworks, or financial econometrics is highly valued
- Intellectual curiosity, problem-solving creativity, and comfort working with ambiguous, noisy datasets
Benefits
- Industry-leading compensation including base salary, bonus, and Two Sigma fund profit sharing
- Work alongside world-class quantitative researchers in one of the most intellectually demanding environments in finance
- Comprehensive medical, dental, and vision benefits
- 401(k) with Two Sigma contribution
- New York City headquarters with Two Sigma's legendary engineering and research culture