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

Location: Via Milano

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