T

Trexquant

Quantitative trading via ML models

Quantitative Developer

Quantitative DevelopmentUpdated on Nov 13
Full-time

About the Job

Requirements

  • A BS, MS, or PhD degree in a STEM field is required.
  • Strong, demonstrable C++ engineering skills are required and are identified as the most important requirement.
  • Solid finance and options asset-class expertise are required; genuine understanding of the options domain is strongly preferred.
  • Experience working with options market data, including how to store and structure it for performance, is required.
  • Familiarity with implied volatility surfaces and a strong understanding of options pricing are required.
  • Experience building or substantially improving backtesting infrastructure is required.
  • Strong problem-solving skills and the ability to work effectively independently and as part of a team are required.

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, profit and loss (PnL), and portfolio analytics systems used for monitoring and evaluating trading strategies.
  • Develop graphical user interfaces (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 with quantitative researchers and portfolio managers to translate research ideas across volatility strategies, futures, or equities teams into robust, production-grade solutions.

Desired Qualifications

  • A genuine understanding of the options domain is strongly preferred.

About the Company

Trexquant

Quantitative trading via ML models

Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Stamford, CT
Founded
2012

Recently Posted Jobs

Explore more opportunities at Trexquant

See more jobs