Quant Developer

Role:
Quant Developer

Client:
Ambitious, early-stage quantitative investment firm

Compensation:
Excellent base plus bonus + Equity on offer

Location:

Connecticut, United States

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.

This is not a siloed role. You’ll sit close to the research, trading, and execution stack, helping to design, build, and scale systems that directly impact P&L from day one. You will contribute broadly as a hands‑on engineer—stepping in across software and quant‑development workloads as needed in a demanding startup setting.

• 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.

• 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, Tensor Flow, Num Py, 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.

• 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.

If you are interested in this Quant Developer position and meet the above requirements please apply immediately.