
Quant Developer, Researcher
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in United States.
• Developing a precise toolset tailored for contemporary electronic trading.
• Creating a platform that integrates HPC engineering with quantitative finance research.
• Enhancing the analytics engine to significantly influence execution analytics and trading diagnostics.
• Extensive knowledge of market microstructure and the mechanics of electronic trading.
• Strong background in real-time or low-latency systems, preferably with C#, C++, or Rust.
• Demonstrated expertise in HPC optimization, including parallelization, memory layout tuning, and zero-GC systems.
• Practical experience with the implementation of financial research, such as execution cost models and order flow analytics.
• Proficient with modular, plugin-based system architectures and high-throughput data pipelines.
• Bonus Points
• Experience in high-frequency trading (HFT), market-making, or algorithmic execution environments.
• Knowledge of ITCH/FIX/OUCH protocols and the specific microstructure behaviors of exchanges.
• Familiarity with infrastructure monitoring for trading systems, including latency breakdowns and tick-to-trade analysis.
• Exposure to quantitative strategy simulation and live production environments.
• Equity: 1.5%–2.0% equity with a 4-year vesting schedule (1-year cliff).
• Non-salary compensation until funding is secured or revenue is achieved.
• Flexibility: Fully remote work with an asynchronous-friendly team spread across various time zones.
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