Quant Developer – Ai-Driven Quant Fund/Equities Mid-Frequency: €500K+

4 giorni fa


Lazio, 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 Developerwho 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 systemsthat manage and execute orders across multiple MFT strategies and exchanges in equities, crypto, and futures Optimize performance, reliability, and latencyacross the execution stack, with a strong focus on robustness in live trading environments Partner closely with quant and machine learning researchersto 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 codein 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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