What is Two Sigma and why apply for a job with us?
Two Sigma is a career destination for the intellectually curious who want to learn, invent, and create. The people of Two Sigma – a dynamic and diverse group of scientists, researchers, engineers, technologists, and business professionals – are accomplished analytical thinkers and passionate problem solvers.
We are a technology company that applies a rigorous, scientific method-based approach to investment management. Since our founding in 2001, Two Sigma’s vision has been to develop technological innovations that intelligently analyze the world’s data to consistently deliver value for our clients.
Research at Two Sigma
Researchers at Two Sigma are the explorers and the dreamers of what’s possible and what’s next.
They delve into the vast sea of data in the pursuit of truth. Guided by the scientific method and driven to unearth the new, they devise models that begin with inspired ideas or economic hypotheses. In a systematic, process-driven fashion, these models are expanded, tested, and, if successful, integrated into our investment portfolios. These models seek to predict the future and provide a market edge.
At Two Sigma, research and technology are united as one. Our scientific bent and commitment to staying at the forefront of technological advancement enable our researchers to continuously investigate the hardest problems and analyze the most formidable data sets, with speed and precision.
Researchers at Two Sigma are passionate about model building, data analysis, and the possibilities that they hold for exploration, insight, and illumination. We seek individuals who are curious, intellectually driven, practical, and purposeful. Our team is comprised of a diverse set of empirical and imaginative thinkers – eager to mix quantitative discipline with creative problem solving.
Quantitative Analyst Position
We are seeking world-class researchers and engineers who are obsessive about data analysis and the pursuit of its greatest challenges. Cracking complex problems in the financial markets requires exceptional knowledge of computational methods, numerical algorithms, and statistical approaches. Our undertaking has brought onboard Putnam finalists, International Mathematical Olympiad medalists, and accomplished researchers from across many industries.
- A bachelor’s or advanced degree in quantitative disciplines.
- Experience working with large data sets.
- Strong programming skills in Java, C, or C++.
- Solid numerical programming abilities.
- Innate curiosity and resourcefulness.
- While we analyze the data-rich domain of finance, financial experience is not a requirement.
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