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

Caracol AM; Barlassina; In loco; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

A pioneering investment firm in Milan seeks a mid-senior Quant Researcher/Developer to design and implement machine learning-driven trading strategies across various asset classes. Responsibilities include researching and developing models for prediction and volatility, coding production-ready research, and collaborating with portfolio management. The ideal candidate should have a strong quantitative background, advanced Python skills, and experience with machine learning. Equity and competitive compensation are offered in a start-up culture.

Servizi

Equity options

Competitive base salary with bonuses

Influence on model design and data architecture

Competenze

• Strong academic background in Machine Learning, Statistics, Mathematics, Physics, Computer Science or Engineering.
• Experience building ML‑based models for non‑stationary time‑series data.
• Advanced Python skills with libraries like PyTorch and TensorFlow.

Mansioni

• Research and implement machine learning models for return prediction.
• Develop feature engineering pipelines for structured market data.
• Collaborate with portfolio management on modeling and execution.

Conoscenze

Machine Learning

Python

Statistics

Time-series analysis

Formazione

BSc, MSc or PhD in a quantitative field

Strumenti

PyTorch

TensorFlow

NumPy

pandas

scikit-learn

Descrizione del lavoro

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

Direct message the job poster from Hunter Bond

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 $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

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