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Two Sigma

Two Sigma

www.twosigma.com

6 Jobs

2,289 Employees

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 background Company brand
Company Name
Two Sigma
Job Title
Quantitative Researcher: Machine Learning
Job Description
Job Title: Quantitative Researcher: Machine Learning Role Summary: Develop and validate machine learning and statistical models to generate investment insights and trading strategies across global markets. Expectations: Deliver evidence‑based model solutions, collaborate with engineering, and engage in continuous learning through research literature and academic events. Key Responsibilities: - Apply rigorous scientific methodology to design sophisticated trading models. - Engineer and test machine learning pipelines on diverse datasets. - Translate model findings into actionable trading ideas in partnership with engineers. - Review and synthesize current research papers and academic seminars. - Present insights at internal and external conferences. Required Skills: - Proficiency in statistical analysis and machine learning algorithms. - Intermediate programming skills in C, C++, Java, or Python. - Experience tuning machine learning models for real‑world data. - Strong analytical and quantitative problem‑solving abilities. - Excellent communication for presenting technical findings. Required Education & Certifications: - Bachelor’s, Master’s, or Ph.D. in statistics, mathematics, physics, electrical engineering, computer science, or related quantitative field. - Published research or conference presentations in relevant domains preferred.
New york, United states
Hybrid
24-11-2025
Company background Company brand
Company Name
Two Sigma
Job Title
Software Engineering Full-Time Campus Hire - London
Job Description
Job Title: Software Engineer (Full-time Campus Hire) Role Summary: Software Engineer responsible for designing, building, and maintaining scalable, high‑performance systems that support Two Sigma’s data analysis and trading operations. Works across distributed storage, cloud environments, model testing/deployment, trading execution, and data ingestion pipelines. Partners with corporate teams to develop productivity tools and ensures reliability of mission‑critical infrastructure. Expectations: - Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or related quantitative field. - Strong programming ability in Java, C, C++, Python, Ruby, or Perl (JVM target). - Experience designing and operating large‑scale distributed systems. - Demonstrated analytical, organizational, and interpersonal skills. - Passion for writing clean, high‑quality code and solving complex technical problems. Key Responsibilities - Build core infrastructure used by multiple engineering teams (distributed storage, cloud services). - Develop and maintain high‑availability systems for primary trading platform. - Create and support environments for model testing and deployment. - Construct low‑latency, high‑performance execution pipelines for trading. - Scale data ingestion from 10,000+ daily sources. - Collaborate with corporate entities to design tools that increase organizational efficiency. Required Skills - Proficiency in Java, C, C++, Python, Ruby, or Perl (JVM). - Strong understanding of distributed systems, networking, and storage. - Experience with cloud platforms (public/private) and containerization. - Familiarity with performance tuning, low‑latency programming, and system reliability. - Ability to write clean, maintainable code and perform rigorous testing. - Excellent communication and teamwork capabilities. Required Education & Certifications - Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or related technical field. - No mandatory financial domain certification; generic professional certifications (e.g., AWS, GCP) are a plus but not required.
London, United kingdom
Hybrid
06-12-2025
Company background Company brand
Company Name
Two Sigma
Job Title
Software Engineering Internship - NYC
Job Description
Job Title: Software Engineering Internship Role Summary A 10‑week internship focused on designing, building, and maintaining scalable, high‑performance infrastructure for data ingestion, trading systems, and cloud environments in a technology‑driven financial organization. Interns collaborate with a mentor, complete a project, and present results. Expectations - Deliver robust, production‑grade code within project timeline. - Apply rigorous testing, documentation, and code review practices. - Communicate progress and technical design clearly to peers and supervisors. - Prepare a final presentation summarizing the project outcome. Key Responsibilities - Develop and maintain distributed storage, public and private cloud setups used company‑wide. - Ensure reliability of mission‑critical systems, including primary trading platforms. - Build environments for model testing, deployment, and execution with low latency. - Design high‑throughput data ingestion pipelines from thousands of daily sources. - Collaborate with corporate teams to create productivity tools and system enhancements. Required Skills - Proficiency in Java, C, C++, Python, Ruby, or Perl (JVM‑targeted languages). - Experience designing and implementing large‑scale, distributed systems. - Strong programming, debugging, and performance optimization abilities. - Excellent analytical, organizational, and interpersonal communication skills. - Passion for delivering quality, maintainable software. Required Education & Certifications - Current coursework toward a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Applied Mathematics, Statistics, or related quantitative field. - No specific certifications required; relevant coursework or projects in distributed systems, cloud infrastructure, or high‑performance computing preferred.
New york, United states
Hybrid
28-12-2025
Company background Company brand
Company Name
Two Sigma
Job Title
Product & Capital Strategy Intern [Summer 2026]
Job Description
Job title: Product & Capital Strategy Intern [Summer 2026] Role Summary: Intern will develop data tools, build full‑stack Web dashboards, and conduct quantitative analyses to support strategic decisions for senior leadership, including portfolio performance and trading analytics. Expactations: Deliver functional Python back‑end services, React‑based front‑end interfaces, ETL pipelines, and actionable analytic proposals that influence capital and product strategy. Key Responsibilities: - Design and implement interactive dashboards and web applications using React and Python. - Build and maintain ETL pipelines and data processing systems. - Analyze firm datasets to identify growth opportunities, trade improvements, and package findings into proposals for senior leadership, including the CIO. - Translate complex analytical concepts into clear technical requirements for development. - Apply modern portfolio theory to evaluate portfolio performance and analytics. Required Skills: - Strong programming in Python (pandas, numpy) and experience building web applications with React or equivalent. - Data manipulation, ETL design, and full‑stack application development. - Quantitative reasoning and ability to translate analytics into actionable insights. - Familiarity with modern portfolio theory. - Excellent communication and documentation skills. Required Education & Certifications: - Current enrollment in a technical or quantitative discipline (statistics, mathematics, physics, electrical engineering, computer science, or related field). - No specific certifications required, but coursework or projects demonstrating data analysis, programming, and quantitative modeling are essential.
New york, United states
Hybrid
Fresher
29-12-2025