Quant Developer – AI-Driven Quant Fund/Equities mid-frequency : €500k+

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 Equities mid-frequency

Why Join? 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