Quant Developer – AI-Driven Quant Fund​/Equities mid-frequency

Position: 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, Tensor Flow, Num Py, 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