Quantitative Equity Analyst – Alpha Signals & AI-Driven Research

CANDRIAM; Brussel Hoofdstad; Hybride; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Candriam, a global asset manager, seeks a Quantitative Equity Analyst to strengthen its research capabilities in an active global, US, European and Japanese equity framework. The role focuses on developing and testing systematic signals, improving stock-selection models, and expanding alpha sources across styles and regions.

Collaboration with portfolio managers and rigorous backtesting are essential. The candidate should have a Master’s or PhD in a quantitative field, 5+ years’ experience,

Qualifications

• Master's degree or PhD in finance, econometrics, statistics, mathematics, engineering, data science or another quantitative discipline.
• Proven experience in quantitative equity research, systematic investing or closely related field (5+ years).
• Strong knowledge of equity markets, factor investing and portfolio construction.
• Experience developing and testing systematic equity signals or investment strategies.
• Advanced programming skills, preferably Python, with strong data handling capabilities.

Responsabilités

• Conduct quantitative research into new equity signals, datasets and investment strategies.
• Enhance and extend stock-selection models and research framework.
• Identify complementary sources of alpha across investment styles, regions and market environments.
• Assess robustness, economic rationale and scalability of new signals and strategies.
• Design and perform rigorous backtests, including costs, liquidity constraints and implementation considerations.
• Analyze signal interactions, factor exposures, portfolio risks and performance across regimes.
• Explore alternative data, machine learning or generative AI applications where relevant.
• Translate successful research into robust, production-ready investment solutions.
• Collaborate with Quantitative Fund Managers on portfolio construction and monitoring.
• Present research findings and investment recommendations to colleagues and committees.
• Contribute to the team’s research agenda and challenge existing approaches constructively.

Connaissances

Quantitative research

Backtesting

Data handling

Machine learning

Portfolio construction

Statistical methods

Economic rationale

Team collaboration

Formation

Master's or PhD in quantitative field

Outils

Python

Description du poste

Candriam, a global asset manager, seeks a Quantitative Equity Analyst to strengthen its research capabilities in an active global, US, European and Japanese equity framework. The role focuses on developing and testing systematic signals, improving stock-selection models, and expanding alpha sources across styles and regions.

Collaboration with portfolio managers and rigorous backtesting are essential. The candidate should have a Master’s or PhD in a quantitative field, 5+ years’ experience,