Two Sigma

Two Sigma is a quantitative investment management firm founded in 2001 by computer scientist David Siegel and mathematician John Overdeck, who built the firm on the premise that data science and technology could extract persistent signals from financial markets at a scale no discretionary process could replicate. With over $70 billion in AUM and a workforce of approximately 1,700 people, roughly two-thirds of whom work in research and development, the firm operates at an unusual intersection of institutional asset management and applied science.

For family offices evaluating Two Sigma as an external investment manager, the relevant offering sits within its institutional investment management business. The firm runs primarily systematic strategies, supported by infrastructure that includes 380+ petabytes of stored data from over 10,000 sources, more than 110,000 daily simulations, and computing capacity comparable to the world's top supercomputer sites. In 2021 the firm also launched a "scientific discretionary" macro strategy under portfolio manager Grace Gu, representing its first move into discretionary investing after two decades as a purely systematic manager.

Key characteristics relevant to allocators include:

• Systematic strategies spanning data sourcing, modeling, portfolio construction, and execution on a shared proprietary platform
• A scientific discretionary macro strategy that blends quantitative tools with human judgment
• A venture portfolio of 100+ companies through Two Sigma Ventures
• A real estate business applying data science methods to property investing
• Active integration of large language models into research workflows, with explicit caution around overfitting and temporal leakage

Family offices considering an allocation should note that Two Sigma primarily serves institutional investors, and no public information on minimum investment thresholds, fee structures, or specific fund terms is available on the firm's website. Access and terms would require direct engagement with the investor relations team.

• Systematic quantitative investment management across global markets
• Scientific discretionary macro strategy management
• Real estate investing supported by data science research
• Venture capital investing through Two Sigma Ventures
• Quantitative research and alpha signal generation

• Proprietary data platform storing 380+ petabytes from 10,000+ sources
• 110,000+ daily portfolio simulations
• Machine learning and deep learning modeling including natural language processing
• LLM integration into feature engineering and research workflows
• Real-time risk monitoring and execution optimization
• Scientific discretionary macro investment strategies
• Venture portfolio of 100+ companies
• Real estate data science investing business
• Proprietary CI/CD data pipeline infrastructure

Built for Single Family Office (SFO), Multi Family Office (MFO), Investment Teams, CIO / Investment Office.