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.

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 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