ML Alpha Researcher - Tier 1 Hedge Fund - Paris
Role Overview
Join a collaborative research team focused on developing systematic multi-asset strategies through cutting-edge machine learning and quantitative techniques. This role offers the opportunity to work closely with a Senior Portfolio Manager (SPM) on alpha research, contributing to the full lifecycle of model development and deployment across asset classes.
Key Responsibilities
- Lead and support alpha research initiatives across multiple asset classes, including:
- Idea generation and hypothesis formulation
- Data acquisition, cleaning, and feature engineering
- Model development, backtesting, and performance analysis
- Apply advanced statistical learning and machine learning techniques to extract predictive signals from diverse datasets, including macroeconomic, fundamental, event-driven, and alternative data.
- Collaborate closely with the SPM and broader investment team in a transparent and intellectually rigorous environment.
- Contribute to the continuous improvement of research infrastructure and tooling.
Preferred Technical Skills
- Strong programming and research skills in Python (experience with libraries such as NumPy, pandas, scikit-learn, PyTorch or TensorFlow is a plus)
- Solid understanding of machine learning algorithms, time series modeling, and statistical inference
- Familiarity with backtesting frameworks and performance evaluation metrics
- Experience working with large-scale datasets and cloud-based data environments
Qualifications
- Master's or PhD in a quantitative discipline such as:
- Computer Science
- Applied Mathematics
- Statistics
- Machine Learning
- Financial Engineering
- 3-5 years of experience in alpha research, ideally within a systematic or quant-driven multi-asset environment
Highly Valued Experience
- Demonstrated ability to work with macroeconomic, fundamental, and event-based data
- Exposure to alternative data sources and signal extraction
- Strong economic intuition and critical thinking
- Experience with statistical arbitrage or other short-horizon trading strategies across asset classes
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