Quantitative Developer

Job Title:

Location:

Company:

About 39k

39k Group is a high-frequency trading firm operating globally across centralized crypto exchanges. We specialize in ultra-low-latency strategies and market making, and we're scaling our infrastructure to handle billions of events daily with microsecond-level performance.

Role Overview

We’re hiring a Quantitative Developer to help design, build, and optimize the trading systems that drive our core strategies. You’ll work at the intersection of software engineering and quantitative research — implementing models, building execution frameworks, and developing the simulation environments that allow us to test and deploy ideas at scale.

This role is ideal for engineers who love writing fast, reliable code while collaborating directly with traders and researchers to bring strategies from research into production.

What You’ll Do

• Implement trading models, execution algorithms, and strategy logic in C++ or Rust with a focus on performance and reliability.
• Build data pipelines and research frameworks to test hypotheses on tick-level and order book data.
• Develop simulation and backtesting engines to validate strategies under production-like load.
• Optimize code paths for throughput and latency, leveraging advanced data structures, CPU cache efficiency, and parallel processing.
• Collaborate closely with quantitative researchers to translate mathematical models into performant, testable code.
• Monitor and profile trading systems in production, identifying bottlenecks across network, OS, and application layers.

What We’re Looking For

• 2–5 years of professional development experience in

  C++ and/or Rust

  .
• Strong grasp of algorithms, data structures, and systems-level programming.
• Experience with multithreaded and asynchronous programming.
• Familiarity with market microstructure, order books, and exchange APIs (crypto or traditional).
• Comfort with Linux environments, profiling/debugging tools, and writing production-grade, testable code.

Bonus points for:

• Experience in high-frequency trading, quantitative finance, or real-time data systems.
• Exposure to Python for data analysis and research.
• Knowledge of kernel bypass networking (DPDK, io_uring) and hardware time sync (PTP/NTP).

Why Join Us?

• Write code that runs in live markets and directly impacts PnL.
• Work side-by-side with quants and traders in a fast-moving, outcome-driven environment.
• Gain exposure to every layer of the trading stack — from research to execution.
• Hybrid flexibility, global scale, and the chance to push systems to their absolute limits.

If you’re an engineer who thrives at the boundary of research and systems — and want your code to drive real strategies in live markets — we’d love to hear from you.