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.
What You’ll Do
- 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
What They’re Looking For
- 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
Technical Requirements
- 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
Nice to Have
- 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
- Experience with equities mid-frequency trading
Why Join?
- Start-up culture with genuine roadmap to $1 billion 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