Hiring: Quantitative Software Engineer: Portfolio Research Acceleration Company: Two Sigma Location: New York, United States Job Posted Time: 2026-09-03 11:07:26 Employment Type: Hybrid Target Skills & Keywords : AI, Linear About the job Experience: •7 years of experience in academia and/or industry; 10+ years of experience preferred in software engineering, quantitative analysis and research methods •Minimum 7 years of experience in academia and/or industry; 10+ years of experience preferred in software engineering, quantitative analysis and research methods Required Skills: •Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. •The ideal candidate is someone with a strong engineering and quantitative background - we work at the intersection of engineering and quantitative research. •Take On The Following Responsibilities •Work closely with our research partners to ideate and iterate within new areas of research, driving improvements and innovations in portfolio optimization techniques, and developing new tools to accelerate research •Engineers will prototype implementations, craft new architectures, and productionalize research insights •Perform quantitative analysis to characterize and understand the quantitative impact of their work on Two Sigma’s trading models to drive discussions with researchers, engineers and business leaders. •Become a technical expert for the systems underpinning these research areas and help evolve these components •Develop a deep understanding in multiple portfolio research domains Qualifications: •PhD in Physics, Electrical Engineering, Computer Science, Operations Research, Applied Math, or another technical/quantitative field highly preferred Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!