Quantitative Researcher
2 weeks ago
Our mission is finding value in the world’s data.
Researchers and Data Scientists bring this mission to life.
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Develop inspired ideas through scientific thinking, curiosity, and precision. Systematically test and expand hypotheses to shape company strategy.
Seek out patterns and trends in the world’s data. Then harness these insights to help us forecast the movement of global markets.
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Working at the intersection of unique data sets and new business problems is the dream of every data scientist. I am very fortunate to lead a team who have this opportunity every day, as we work to develop novel data science tools and processes that can directly support Two Sigma’s diverse businesses. From real estate, to private equity, and venture capital, the data is incredibly diverse, and we work with partners to identify how data-driven decision making can create a long-term competitive advantage.
Data Scientist
My team looks at how text-based data like the news can impact the markets. We get to tackle challenging, unstructured problems in creative ways, and I find the open-endedness to be incredibly exciting.
Quantitative Researcher
As a Quantitative Researcher, I leverage real world data to solve some of the most interesting problems in the investment management space. Two Sigma's scientific approach contributes to a very engaging and stimulating work environment while collaborating with some of the most kind and talented people I know helps fast-track my growth as a researcher and scientist.
Quantitative Researcher
Curiosity plays a big role in modeling at Two Sigma – we’re always developing new areas of research, exploring the relationship between a conceptual hypothesis, and the structured, quantitative representation of that idea with the firm’s vast data holdings. Each research question we encounter presents new and exciting challenges, both abstract and pragmatic. It’s a really satisfying process, finding an idea in an academic paper or a newspaper article, and turning it into a signal.
Data Scientist
Two Sigma’s culture of learning has its roots in our employees’ deep ties to academia. Interested in partnering with Two Sigma to apply research to real-world problems?
Our collaborations take many forms from fellowships to data sharing. Learn more >
Two Sigma offers PhD fellowships supporting doctoral students who are expanding frontiers in a STEM field such as statistics, applied mathematics, computer science, physics, and finance/econometrics.
As part of our commitment to supporting diverse talent in tech, Two Sigma sponsors a yearly Undergraduate Mentor Connect program. This 6-week remote summer mentorship program pairs early college students from historically underrepresented groups in STEM with Two Sigma tech professionals on open source projects in a learning-focused environment.
Collaboration plays an essential role in the advancement of scientific knowledge. We have relationships with top institutions around the world.
We offer focused support for the first years of your career.Two Sigma invests in the early careers of our problem solvers, academics, and inventors. Our specific programs encourage young engineers to hypothesize, collaborate with their peers, and develop their intellectual curiosity.
While interviewingEvery interview at Two Sigma is a bit different because we want your experience to be relevant to you, your background, and the roles we’re considering you for. To help you get ready to come see us we’ve outlined how to prepare and what to expect.
We provide our engineering interns with the freedom to innovate, explore, and dig into unique and complex challenges. In addition to attending a learning series, our interns are encouraged to explore their ideas and contribute to our powerful platform.
Two Sigma’s NewTS (New Two Sigma) program integrates campus hires focused on Engineering, Data Science and Quantitative Research into every-day life at Two Sigma, adding learning and cultural events alongside work responsibilities.
Quantitative Researcher: Europe Tactic Specialist Additional Quantitative Research Positions Ben Wellington Talks AI, Data Science, and Improv on The Gradient Podcast Semantic Types: From Computer-Centric to Human-Centric Data Types Webinar: Machine Learning Models of Financial Data We actively engage with the brightest minds in academia—wherever they’re found. #J-18808-Ljbffr-
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