Quant Developer: Hands-On Trading Systems + Equity

Role: Quant Developer
Client : Ambitious, early-stage quantitative investment firm
Compensation : Excellent base plus bonus + Equity on offer
Location: Connecticut, United States

Overview
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.

The Role
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.

Key responsibilities include:

• 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’s on 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.

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