Two Sigma
About us
Who are we?
More than 1,700 people who believe the scientific method is the best way to approach investing. Ideas backed up with information. And improved by iteration. That’s Two Sigma.
We’re not your typical investment manager. We follow principles of technology and innovation as much as principles of investment management. Fields like machine learning and distributed computing guide us. Since 2001, we’ve searched for ways that these kinds of technologies can make us better at what we do. We never stop researching and developing.
In the process, we work to help real people. Through our investors, we support the retirements of millions around the world. And we help fund breakthrough research, education and a wide range of charities and foundations.
- Finance
- Private
- People: 250+
- Founded: 2001
- London, United Kingdom
- New York, NY, US
- Houston, TX, US
Technology
Benefits
Culture
(1)Health & Wellness
(4)Financial benefits
(2)Vacation
(2)Extras
(3)Professional development
(1)Diversity
(1)Hire with us!
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- Finance
- Private
- People: 250+
- Founded: 2001
- London, United Kingdom
- New York, NY, US
- Houston, TX, US
Hire with us!
Create a free profile page for your company.
Use this space to connect with our community. Companies with profiles typically get 20% more applications!
How we work
TECHNOLOGY & DATA
Technology drives our business. We use machine learning, distributed computing and other technologies to find connections in the world’s data. We’ve been pushing the frontiers of Big Data since before it was a buzzword. To us, it’s just data. We work with vast sets of it, from over a thousand diverse sources.
INVESTMENT MANAGEMENT
We’re always looking to improve our investment strategies, measuring our results as we go along. So we can make more intelligent trading decisions, with one eye on generating real alpha, and the other on effectively managing risk.
RESEARCH & THE SCIENTIFIC METHOD
Guided by the scientific method, we devise models that begin with inspired ideas or economic hypotheses. In a systematic, process-driven fashion, models are expanded, tested and integrated into our investment strategies.
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