We are seeking a highly skilled and motivated Quantitative Developer to join our systematic trading organization. This role will be instrumental in building and scaling the analytics platform that underpins research, portfolio construction, risk management, and trading across multiple asset classes, including equities, futures, options, ETFs, and other listed and derivative instruments.
Working closely with quantitative researchers, traders, and technology teams, you will own core analytics and market data infrastructure, productionize research models, and develop the backtesting, risk, and tooling capabilities that support the full investment lifecycle. The role combines hands-on software engineering with quantitative and market structure expertise, requiring the ability to design performant, scalable systems that operate across diverse asset classes and large datasets.
The ideal candidate will possess strong C++ engineering skills, deep experience building quantitative trading infrastructure, and a solid understanding of financial markets, market data, and quantitative research workflows.
Responsibilities- Build and maintain the analytics platform supporting volatility strategies, futures, or equities including infrastructure and other datasets used by researchers and traders.
- Productionize quantitative research models and integrate them into backtesting and live trading systems.
- Design and implement scalable storage and processing systems for equities, futures, options, and other market and risk data.
- Develop and enhance backtesting infrastructure to support complex research workflows and large-scale simulations.
- Build and maintain risk, PnL, and portfolio analytics systems used for monitoring and evaluating trading strategies.
- Develop GUIs, visualization tools, and developer-facing applications that improve researcher and trader productivity.
- Optimize system performance, scalability, and reliability across data, analytics, and research infrastructure.
- Collaborate closely with quantitative researchers and portfolio managers to translate research ideas across volatility strategies, futures or equities teams into robust, production-grade solutions.
Requirements
- BS/MS/PhD degree in a STEM field.
- Strong, demonstrable C++ engineering skills — this is the most important requirement for the role.
- Solid finance and options asset-class expertise; a genuine understanding of the options domain is strongly preferred.
- Experience working with options market data, including how it is best stored and structured for performance.
- Familiarity with implied volatility surfaces and a strong understanding of options pricing.
- Experience building or substantially improving backtesting infrastructure.
- Strong problem-solving skills with an ability to work effectively both independently and as part of a team
Benefits
Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.
The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer.
Skills Required
- BS/MS/PhD degree in a STEM field
- Strong, demonstrable C++ engineering skills
- Experience building or substantially improving backtesting infrastructure
- Experience working with options market data and high-performance storage/structuring
- Familiarity with implied volatility surfaces and strong understanding of options pricing
- Solid finance and options asset-class expertise / genuine understanding of the options domain
- Strong problem-solving skills and ability to work independently and on teams
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
