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Two Sigma is a financial sciences company that combines advanced technology and data science with rigorous human inquiry to solve the toughest challenges in finance. Two Sigma aims to generate alpha for its clients and deliver differentiated solutions in investment management, securities, private equity, real estate, impact investing, venture capital, portfolio analytics, and insurance. Founded in 2001 by David Siegel and John Overdeck, Two Sigma employs over 2,000 curious minds, and is headquartered in New York with offices around the globe. For more information visit www.twosigma.com.

Two Sigma is proud to be an equal opportunity workplace.  We do not discriminate  based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

The information presented in this profile is offered for recruiting purposes only and should not be used for any other purpose.  As such, Two Sigma’s use of LinkedIn is not an offer to, or solicitation of, any potential clients or investors for the provision by Two Sigma of investment management, advisory or any other related services.  No information posted by Two Sigma should be construed as investment advice, or as an offer to sell, or a solicitation of an offer to buy, any security or other instrument.  All trademarks, logos, information and photos are ®/TM/© Two Sigma Investments, LP or its affiliates. All rights reserved.

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Congratulations to Lily Chen and Sophie Willis who have been named the 2024 winners of Two Sigma's Undergraduate Scholarship.

Our Undergraduate Scholarships are designed to support undergraduate students who are expanding frontiers in a #STEM field such as statistics, applied mathematics, computer science, and physics. Learn more: https://lnkd.in/ezRfv8nM

Alongside researchers from Carnegie Mellon University, Stanford University, and University of California, Berkeley, Two Sigma’s Heather Miller has developed the first guide to emerging LLM abstractions. In addition to cataloging several LLM programming frameworks, the authors developed two novel systems of organizing and outlining the characteristics of the current landscape of frameworks and how they interact with and between large language models. 

The past two years have demonstrated that while LMs can be widely transformative, they carry inherent limitations in integrating seamlessly into larger program environments. These new organization systems will enable researchers and developers to quickly compare programming frameworks for language models, such as OpenAI and LangChain, against each other to understand which would best serve their project. Learn more: https://lnkd.in/exe-fuDf #LLM #machinelearning

"We love to solve hard problems." This phrase has long been something of a mantra at Two Sigma as we tackle research and engineering challenges, but we also love to share what we've learned along the way. In this article, we look back at five of the Two Sigma Insights posts that sparked our—and our readers'—curiosity the most in 2023. Learn more: https://lnkd.in/et_n5tDM

We're headed to NeurIPS the 37th annual interdisciplinary academic conference that focuses on research advances in artificial intelligence and machine learning. Stop by Booth 1128 at the New Orleans Ernest N. Morial Convention Center to learn more about Two Sigma and our open roles!  https://lnkd.in/e7V9UUTF #NeurIPS2023

This fall we hosted our fifth annual Two Sigma Open, an internal event made up of a series of workshops and hackathons that provides our software engineers the opportunity to sharpen their skills, engage with the open source community, and help support crucial but often under-resourced initiatives. 

Adam Argyle, the creator of Open Props, and Danielle Adams, a member of the Node.js Technical Steering Committee, joined Two Sigma colleagues during the hackathon and provided direct assistance and feedback on their contributions to Open Props and Node.js. Learn more: https://lnkd.in/e66_9qRT

Earlier this month, Sumbo Ojikutu, CFA, CAIA, SVP, Strategy & Product Development, moderated a lively and wide-ranging conversation with Zia Williams, SVP, Investment Management Engineering at AFROTECH. 

Zia shared insights on what it’s like to work in engineering in quantitative finance, myths of being an engineer in finance, lessons learned from navigating careers across technology and finance as a black woman, and tips for talent looking to build a path in engineering, including the importance of sponsorship and mentorship and finding and building community. 
 
Both Zia and Sumbo are on the steering committee of our employee resource group BE@TS (Bridging Ethnicities at Two Sigma). Learn more about diversity at Two Sigma and open engineering roles: https://lnkd.in/eSJje-WV #engineeringcareers

In celebration of Diwali, Two Sigma’s BE@TS (Bridging Ethnicities @ Two Sigma) employee resource group hosted an event in our Quad and welcomed colleagues to enjoy a variety of traditional foods and activities, such as rangoli, diya painting, henna, and Rummy card games. Colleagues also shared the history of the holiday, favorite recipes, and ideas for other ways to celebrate. 

To those celebrating this weekend, we wish you a bright and happy Diwali! 🪔

Learn more about our employee resource groups: https://lnkd.in/eKbzgSxf #diwali

Two Sigma's Data Clinic team recently launched Data Gather, a new open source UI designed to act as a versatile point-and-click data collection tool for mission-driven organizations, in collaboration with Wellfare. Learn more about Data Gather's capabilities and the development process: https://lnkd.in/ece9Q2gJ

We recently hosted a panel discussion around the role of data science and research in Financial Sciences with our team of data scientists. They discussed how we use data to forecast the future and the impact of machine learning and AI on innovation in finance. 

Learn more about how Two Sigma researchers apply deep learning to sequences in quantitative investing: https://lnkd.in/esWAsech #ai #machinelearning

Headed to #AFROTECH23 and ready to engineer your career? Join two of our senior leaders, Zia Williams and Sumbo Ojikutu, CFA, CAIA, for a fireside chat to learn what it means to be an engineer in the quantitative investing field, including opportunities it presents to build solutions and solve complex challenges in finance. They’ll also share insights about internal mobility, the industry’s evolving landscape, and navigating your career as a Black woman. Learn more here: https://lnkd.in/ej7AsUz3

Two Sigma Investments, LP is a New York City-based hedge fund that utilizes advanced technological methods, including artificial intelligence, machine learning, and distributed computing, for its trading strategies. The company is known for its innovative use of algorithms and data science to drive transformations in investment management and insurance industries.

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