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Quantitative Developer - High-Frequency Trading

Thurn Partners United State
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AI Summary

Design, test, and deploy high-frequency futures strategies by translating mathematical models into optimized C++ code. Build research infrastructure including simulation and data pipelines to test ideas at scale across modern hardware. Requires expert-level C++, strong mathematical foundations, and a deep understanding of market microstructure.

Key Highlights
Own the full path from hypothesis to production for high-frequency futures strategies
Translate mathematical models into highly optimized, production-grade C++
Work across modern hardware including CPU, GPU, and TPU
Key Responsibilities
Partner with quantitative researchers to design, test and deploy high-frequency futures strategies
Investigate market microstructure to understand order flow and price movement
Translate mathematical models into highly optimised, production-grade C++
Build research infrastructure including simulation, data pipelines and tooling
Work across modern hardware such as CPU, GPU and TPU to optimize performance
Technical Skills Required
C++ Python Mathematics
Nice to Have
Industry experience at a trading firm, exchange or similarly latency-obsessed environment
Demonstrated interest in markets through internships or credible side projects

Job Description


A leading global trading firm is hiring a Quantitative Developer into a low-latency team trading futures at a high-frequency trading firm, based in New York. The seat sits at the exact junction of quantitative research and production engineering: turning hypotheses about market microstructure into measurable trading outcomes, and building the systems that make that loop fast. It reports into senior research-engineering leadership.


What you'll do:

  • Partner with quantitative researchers to design, test and deploy high-frequency futures strategies, owning the path from hypothesis to production.
  • Investigate market microstructure at the finest grain: how orders arrive, queue and move prices, and where measurable edge actually lives.
  • Translate mathematical models into highly optimised, production-grade C++, and profile relentlessly - performance wins here are visible in results, fast.
  • Build the research infrastructure around the strategies: simulation, data pipelines and tooling that let ideas be tested at scale.
  • Work across modern hardware - CPU, GPU and TPU - choosing the right silicon for each problem.


Your profile:

  • Expert-level C++ with a track record of building high-performance software, and deep systems understanding: memory, caches, concurrency, profiling.
  • Strong mathematical and statistical foundations - equally comfortable reasoning about a model and reading a flame graph.
  • Python for research tooling.
  • Industry experience at a trading firm, exchange or similarly latency-obsessed environment is strongly preferred; exceptional systems engineers with a demonstrated interest in markets (internships, credible side projects) will be considered.
  • Genuine curiosity about markets is non-negotiable - the interview process tests it early, and candidates who see finance as interchangeable with any other C++ job do not progress.


Why this role:

Most engineering roles in trading are adjacent to the research; this one is inside it. You own outcomes, not tickets: the hypothesis, the implementation and the measurement all pass through your hands, on a team small enough that your work is visible to the very top of the engineering organisation.


Pre-Application:

  • This is a full-time, on-site role based in New York; fully remote candidates will not be considered.
  • Applicants must have the right to live and work in the US, or be eligible for sponsorship (confirmed case by case).
  • Please ensure you meet the required experience prior to applying.
  • Allow 1-5 working days for a response to any job enquiry.


Your application is subject to our privacy policy, found here: https://www.thurnpartners.com/privacy-policy


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