Mission: We discover value in the world's data.
The global markets fuel our imagination like nothing else. Unlimited information to study. Countless ways to take action. Fast feedback. Boundless opportunity. It’s got it all.
We apply the scientific method to investment management. Some people call us systematic. Here’s what that means to us: We combine massive amounts of data, world-class computing power and financial expertise to develop sophisticated trading models. And we use technology in an effort to constantly refine our investment process and our insights into how the markets will behave. Risk is a living thing in our business, and we watch over it carefully.
We’re rigorous about our work and developing our people. We’re building great technology and a great culture. And we’re finding solutions to some of the world’s hardest problems while creating a collaborative learning environment in which to tackle them. Here you’ll find exciting challenges and diverse opportunities, and the best teachers around.
At Two Sigma we know that diversity drives innovation. One key area of focus for our diversity efforts, particularly in engineering, is the proactive engagement of women. Our Women at Two Sigma (W@TS) group supports a number of important initiatives, including our early careers mentoring program, pairing recent female engineering graduates with a mentor to guide them through their first year at Two Sigma. We also actively support the women’s engineering community at large, hosting events like Women in STEM and Women Who Code in our offices.
Each year we like to challenge ourselves with a hard, but fun, engineering problem. It always involves programming artificial intelligence systems to battle in a head-to-head competition. In previous years we’ve built AIs to play computer games, card games, and shuffleboard against our employees and each other. 2016’s epic battle saw humans and AIs squaring off across an air hockey table. That’s right—we programmed AIs to play air hockey. How? You might wonder. And who won? Check out this video to find out, and witness the complete story of the 2016 TS Cup.
Learn more and explore at https://www.twosigma.com/careers/life-at-two-sigma
We use technology to help create value for real people: through our investors and in the community around us. Retirees, researchers, students and medical patients are just some of the people who can ultimately benefit from our work.
Learning, teaching and sharing matter to us. We value open source software, so when we created Beaker, a notebook-style development environment that allows seamless translation between multiple coding languages, we released the code. We help nonprofits make smarter decisions through our Data Clinic program. We teach the Scratch programming language to local kids. And we mentor high school robot designers for a yearly robotics competition. The world needs better ideas. We’re helping people find them.
Two Sigma focuses on fostering meaningful and sustainable partnerships with a variety of world-class organizations, events and activities (a selection of these appears to the right). Through our support and collaboration, we nurture the spirit of curiosity and help to encourage exploration and innovation. We are proud to partner with and sponsor:
Our clients are real people and include some of the world’s largest public and corporate pension plans, sovereign wealth funds, insurance companies, research institutions, educational endowments, healthcare systems and foundations. We admire what they do. And we’re proud to help them do it.
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 ten thousand diverse sources.
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.
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.
I have been working at Two Sigma full-time (More than 5 years)
Research and technology drives everything here. At times it feels more like a research firm instead of the super successful hedge fund and trading company that they built themselves into. They treat their employees well, and the environment is relaxed. Casual dress, flexible hours, on site gym and showers, tons of snacks, great parties.
Probably the best thing is the depth of talent here. They really recruit the best of the best.
Technology is solid in the infrastructure, trading, and development groups, and management is committed to investing in tech.
They are very conservative when it comes to compliance. They are super focused on not taking risks when it comes to legal responsibilities.
They are becoming larger and more beaurecratic. They have been around for 16 years and are expanding into new businesses, and with that success they have loss some of the startup vibes they once had.
Although they are committed to tech investment, they are now 16 years old and this area of tech is changing rapidly. Constantly upgrading systems brings its own challenges. There is often a blend of old and cutting edge, and sometimes you are on your own if you want to use the cutting edge stuff.
They are also heavily regulated, and this weighs alot on how fast they are able to move.
Advice to Management
Continue treating employees well. Try not to become too big so you lose your character.
I applied online. The process took 1 day. I interviewed at Two Sigma (New York, NY).
It started with a coding challenge on Hackerrank. Next was an in-person screening from HR. Finally, there was a in-person interview Superday in the NY headquarters. The Superday consisted of 3 back-to-back hourlong interviews. After lunch, they eliminated several candidates.
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