Developer in machine learning

18 ore 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. 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. 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 Strong experience building high-performance, production-quality code in a trading or similarly latency-sensitive environment 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 Strong BSc, MSc or Ph D academic background in Machine Learning, Computer Science or Engineering Advanced Python skills; C++ or other low-level language experience Experience with distributed computing or large-scale data pipelines Machine learning is core to the investment process, not an overlay Opportunity to influence model design, data architecture and research standards



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