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Teza Technologies

Systematic quantitative investment manager trading globally

Trading Platform Developer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in a front-office trading environment building low-latency systems using Core Java and C++.
  • A bachelor's or master's degree in Computer Science or a related field.
  • Experience with network programming using TCP and UDP, and binary protocols.
  • Experience with Unix/Linux development.
  • Experience with multithreading and lock-free data structures.
  • Experience with some subset of Market Data, Order Management System, FIX, Algo Trading, Smart Order Router, DMA, and ITCH.
  • Ability to work in a fast-paced, dynamic environment.

Responsibilities

  • Design, develop, and support core components of the real-time trading platform, including market data, order management, exchange connectivity, and execution infrastructure.
  • Troubleshoot and resolve production issues across a globally distributed trading infrastructure.
  • Develop and maintain Java and C++ trading systems.

Desired Qualifications

  • Experience with Python for tooling, analytics, or data pipelines.
  • Experience with grid computing or big data.
  • Experience with databases such as SQL, MongoDB, Redis, or similar.
  • Experience with cloud infrastructure such as AWS.

About the Company

Teza Technologies

Systematic quantitative investment manager trading globally

Teza Technologies uses a systematic approach to investing by turning advanced mathematics into trading strategies. Its team translates complex research into quantitative models that trade across the world’s largest markets with a global, 24/7 operating footprint. Holding periods range from milliseconds to months, showing a flexible, data-driven approach to timing trades. The company differentiates itself through heavy emphasis on collaborative research—uniting experts across six time zones to continuously develop and refine models, and by tightly integrating people with technology to execute strategies. Its goal is to generate returns for clients by applying disciplined quantitative methods to a wide array of market opportunities.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2009

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