Two Sigma

About the Company

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, venture capital, portfolio analytics, and insurance. Founded in 2001 by David Siegel and John Overdeck, Two Sigma employs over ~1,700 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.

Listed Jobs

Company Name

Two Sigma

Job Title

Product Analytics & Optimization Associate

Job Description

Job title: Product Analytics & Optimization Associate Role Summary: Apply quantitative analytics to evaluate and enhance the performance of investment funds, collaborating with portfolio managers and researchers to optimize strategy allocation, sizing, and trade parameters, thereby driving firm profitability. Expactations: Deliver data‑driven insights that directly influence fund allocation and portfolio performance; present actionable proposals to senior leadership; work cross‑functionally with portfolio, research, and strategy teams; maintain rigorous, reproducible analytic workflows; stay current on quantitative finance methodologies. Key Responsibilities: - Conduct analytics and optimization of funds and strategies to determine optimal allocation decisions. - Partner with portfolio managers to adjust strategy sizing for improved returns. - Collaborate with researchers to identify and set optimal trading parameters. - Integrate firm‑wide datasets to uncover growth or trade improvement opportunities. - Package findings into concise, actionable recommendations for senior leadership (CIO, etc.). Required Skills: - Intermediate proficiency in Python, including pandas, numpy, scipy, and related libraries. - Experience in data cleaning, transformation, and analysis. - Ability to translate complex data into clear business insights. - Knowledge of modern portfolio theory and quantitative investment techniques. - Strong analytical and problem‑solving abilities; attention to detail. Required Education & Certifications: - Bachelor’s, Master’s, or Ph.D. in a quantitative discipline (statistics, mathematics, physics, electrical engineering, computer science). - 2–3 years of relevant work experience in data analytics or quantitative finance.

New york, United states

Hybrid

Junior

10-09-2025

Company Name

Two Sigma

Job Title

Software Engineer, Trading Engineering

Job Description

**Job title:** Software Engineer, Trading Engineering **Role Summary:** Develop and enhance high‑performance trading platforms that support simulation and live execution across diverse financial markets and asset classes. Collaborate with quantitative teams to optimize trading systems, ensuring robust, scalable, and low‑latency solutions while maintaining clean, testable code. **Expectations:** - Minimum 1 year of systems‑level development experience; 2–6 years preferred. - Strong knowledge of market structure and high‑performance programming. - Ability to work in a fast‑paced, research‑driven environment. **Key Responsibilities:** - Build and maintain simulation and live trading platforms for multiple instruments and markets. - Extend existing platforms to support new asset classes, incorporating relevant financial details. - Review and refactor code to improve reliability, performance, and maintainability. - Analyze software performance metrics to guide architectural and design enhancements. - Design, engineer, and implement trading and measurement applications. - Provide technical support to traders deploying portfolio orders. **Required Skills:** - Proficiency in C, C++, or Rust; familiarity with Python is a plus. - Strong grasp of data structures, algorithms, and performance optimization. - Experience deploying and tuning quantitative models in production. - Knowledge of large‑scale system design and distributed computing is desirable. **Required Education & Certifications:** - Bachelor’s (BS) or Master’s (MS) degree in Computer Science, Engineering, or a related technical field.

New york, United states

Hybrid

Junior

11-09-2025

Company Name

Two Sigma

Job Title

Quantitative Researcher - Internship [2026 Summer]

Job Description

Job Title: Quantitative Researcher – Internship (Summer 2026) Role Summary: 10‑week summer internship focused on developing investment models with quantitative methods, applying machine learning to large datasets, collaborating with engineering teams, and engaging with academic research. Expactations: Candidate must be in the final year of a technical or quantitative degree, able to conduct independent research, communicate complex ideas clearly, and complete a project culminating in a final presentation. Key Responsibilities: - Apply scientific method to create and refine investment models. - Use machine learning and other quantitative techniques on diverse data sets. - Design, test, and validate investment ideas in partnership with engineers. - Participate in reading circles and academic seminars to stay current on research. Required Skills: - Intermediate proficiency in at least one programming language (C, C++, Java, or Python). - Strong analytical and statistical skills; experience with real‑world data analysis. - Independent, creative problem‑solving ability. - Clear communication of complex concepts. Required Education & Certifications: - Current enrollment in a bachelor’s, master’s, or PhD program in statistics, mathematics, physics, electrical engineering, computer science, or a related quantitative discipline with approximately one year remaining. - No specific certifications required.

New york, United states

Hybrid

11-09-2025

Company Name

Two Sigma

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist **Role Summary:** Conduct independent research on diverse real-world datasets, develop and test hypotheses, and apply advanced methodologies to extract meaningful signals. Collaborate with engineering and business teams while staying engaged with the academic community through reading groups and seminars. **Expectations:** - 1‑5+ years of applied data analysis and predictive modeling experience, preferably in industry. - Ability to work independently, think creatively, and communicate complex ideas clearly. - No prior finance experience required; willingness to learn financial concepts. **Key Responsibilities:** - Research and formulate hypotheses using unique datasets. - Perform literature reviews and implement cutting‑edge analytical techniques. - Partner with engineers and business stakeholders to rigorously test and validate models. - Participate in academic activities (reading circles, seminars) to stay current with research. **Required Skills:** - Proficiency in Python and SQL. - Strong statistical and quantitative analysis capabilities. - Experience conducting in‑depth research projects on real‑world data. - Excellent problem‑solving, critical thinking, and communication skills. **Required Education & Certifications:** - Bachelor’s (minimum) degree in a technical or quantitative discipline such as Statistics, Mathematics, Physics, Electrical Engineering, or Computer Science. - Advanced degrees optional but not required.

New york, United states

Hybrid

20-09-2025