Quant Developer – Quant Fund​/Equities mid-frequency

Quant Developer – Quant Fund/Equities Mid-Frequency : $500k+

Location:

Miami, FL

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.

• 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
• Comfort working across multiple asset classes and exchanges, or the curiosity and ability to ramp up quickly
• 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

• 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

• C++ or other low-level language experience
• Experience with distributed computing or large-scale data pipelines
• Prior experience in systematic trading, prop trading or quant funds
• 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

Mid-Senior level

Full-time

Engineering, Research, and Information Technology

Technology, Information and Media, Financial Services, and Investment Banking