Quant Researcher / Developer – AI-Driven Quant Fund - Milan, Italy
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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
Equities mid‑frequency

Why Join?

Start‑up culture with genuine roadmap to $1bn 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

Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering, Research, and Information Technology
Industries
Technology, Information and Media, Financial Services, and Investment Banking
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