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Hunter Bond Logo Hunter Bond · IT - Software Development

Quant Developer

United States, Florida 500000.00 USD / Year · Job Posted June 10, 2026
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Job Description

We’re partnering with an ambitious, early-stage quantitative investment firm that’s quietly assembling a world-class engineering and research team. Backed by experienced founders and operating at the intersection of markets, data, and machine intelligence, this fund is building high-performance trading systems across equities, crypto, and futures. They’re now looking to add a Quant Developer who thrives in a fast-moving start-up environment and wants real ownership over mission-critical trading infrastructure.

Job Responsibility

  • Build, maintain, and evolve production-grade trading systems that manage and execute orders across multiple MFT strategies and exchanges in equities, crypto, and futures
  • Optimize performance, reliability, and latency across the execution stack, with a strong focus on robustness in live trading environments
  • Partner closely with quant and machine learning researchers to continuously refine data pipelines, signals, and execution logic
  • Contribute broadly as a hands-on engineer—stepping in across software and quant-development workloads as needed in a demanding startup setting

Requirements

  • Strong experience building high-performance, production-quality code in a trading or similarly latency-sensitive environment
  • Strong BSc, MSc or PhD academic background in Machine Learning, Computer Science or Engineering
  • Advanced Python skills
  • experience with PyTorch, TensorFlow, NumPy, pandas, scikit-learn
  • A pragmatic, problem-solving mindset—someone who enjoys shipping, iterating, and improving real systems
  • The flexibility and ownership mentality required to succeed at an early-stage fund

Nice to have

  • C++ or other low-level language experience
  • Distributed computing/large-scale data pipelines
  • Prior systematic/prop trading or quant fund experience
  • Equities mid-frequency

What we offer

  • Start-up culture with genuine roadmap to $1billion AUM
  • Equity on offer alongside excellent base plus bonus
  • Machine learning is core to the investment process, not an overlay
  • Exposure to multiple asset classes within a unified research framework
  • Opportunity to influence model design, data architecture and research standards
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