Quantitative Developer/Researcher : $200-300k plus equity : Milan, Italy

Our client is a dynamic and ambitious quantitative hedge fund operating at the forefront of systematic trading. With a reputation for combining cutting-edge research, world-class engineering, and a highly selective talent pool, they are seeking a hybrid Quantitative Developer / Researcher to join a high-impact team driving alpha generation across multiple asset classes. This is a rare opportunity to work in an environment where research and engineering are deeply integrated—your ideas will move directly from concept to production, influencing live trading strategies at scale.

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Sitting at the intersection of research and technology, you will: Design, develop, and implement systematic trading strategies from inception to deployment Collaborate closely with senior researchers to translate complex models into robust, production-grade systems Conduct original quantitative research, including alpha signal generation and statistical modelling Optimise existing strategies through rigorous backtesting, simulation, and performance analysis Build and enhance high-performance research infrastructure and data pipelines Work with large, complex datasets to extract actionable insights and improve model performance

We are looking for exceptional individuals with a strong blend of academic rigour and engineering excellence: Advanced degree (PhD/MSc) in Mathematics, Physics, Computer Science, Statistics, or a related quantitative discipline Strong programming skills in Python and/or C++ (or similar high-performance languages) Proven experience in quantitative research, systematic trading, or related fields Deep understanding of statistical modelling, machine learning, or time-series analysis Ability to take ownership of ideas and drive them end-to-end Intellectual curiosity, creativity, and a genuine passion for markets and data

Desirable Experience Prior experience xpavfwm in a top-tier hedge fund, proprietary trading firm, or leading tech environment Familiarity with distributed systems, low-latency infrastructure, or large-scale data processing Track record of developing alpha-generating strategies Experience working across multiple asset classes (equities, futures, FX, crypto)

Why This Opportunity True hybrid role: equal emphasis on research and engineering Direct impact on PnL from day one Flat structure, fast decision-making, and high autonomy Competitive compensation with performance-linked upside Hybrid working model based in Milan