Software Engineer, Modeling Engineering
Company: Two Sigma
Location: New York
Salary: $165k - $250k per year
Type: Full-time
Level: mid
Posted: 2026-02-23
About this role
Position Summary
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
As a Software Engineer in our Modeling Engineering group, you will play a meaningful role in improving the efficiency of our modelers. Your expertise will allow Two Sigma quantitative researchers to rapidly explore and implement innovative trading strategies across global financial markets. You'll quickly engage with new research areas, deepen your expertise with Two Sigma data and tools, maintain high coding standards, and identify impactful projects in a complex and critical field.
You Will Take On The Following Responsibilities
- Partner with quantitative researchers and traders to discover and monetize the hidden value of data through data science and software engineering
- Build and maintain a suite of analysis tools that enable their quantitative research
- Develop and extend our trading platform to support new markets and asset classes, ensuring seamless integration and operation.
- Analyze trading performance to inform strategic improvements and decision-making.
- Build technologies that bolster our trading businesses and drive productivity enhancements, teamwork, and risk reduction across the company.
You Should Posses The Following Qualifications
- Minimum 1 year of experience required; 2-5 years of experience in cutting-edge software engineering preferred
- BS or MS degree in Computer Science, Engineering, or a related field.
- An understanding of data structures and algorithms
- Experience with Python, Java, C or C++
- Strong understanding of distributed systems, networking, and market microstructure knowledge is highly preferred....