Quant Developer – Ai-Driven Quant Fund/Equities Mid-Frequency

6 giorni fa


Milano, Italia Hunter Bond A tempo pieno

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 settingWhat 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 fundTechnical 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-learnNice 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-frequencyWhy 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



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