Quant Researcher / Developer – AI-Driven Quant Fund - Milan, Italy

Hunter Bond · Milano, Lombardia, Italia ·


Descrizione dell'offerta

We are working with a technology-led quantitative investment fund in Milan that is building systematic, ML-driven trading strategies across equities, options and crypto. The firm is early-stage, well-capitalised, and led by experienced quants and engineers with backgrounds in systematic trading and applied machine learning.

They are now hiring a Quant Researcher / Developer to contribute directly to alpha research, model development and production deployment.


Responsibilities

  • Research and implement machine learning models for return prediction, volatility forecasting and signal generation
  • Develop feature engineering pipelines for structured market data and alternative datasets
  • Work with high-frequency and/or end-of-day time-series data across equities, options and crypto
  • Collaborate with portfolio management on portfolio construction, risk modelling and execution constraints
  • Write clean, efficient, production-ready research code and contribute to research infrastructure


Technical Requirements

  • Strong BSc, MSc or PhD academic background in Machine Learning, Statistics, Mathematics, Physics, Computer Science or Engineering
  • Demonstrable experience building ML-based models for noisy, non-stationary time-series data
  • Advanced Python skills; experience with PyTorch, TensorFlow, NumPy, pandas, scikit-learn
  • Solid understanding of statistical learning theory, time-series analysis, optimisation and numerical methods


Nice 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


Why 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
  • Milan-based role, open to local Italian candidates and international quants willing to relocate to Milan

Candidatura e Ritorno (in fondo)