Candriam is a global multi-specialist asset manager and a recognized pioneer and leader in sustainable investment. For more than 25 years, Candriam has offered innovative and diversified investment solutions across many asset classes including fixed income, equities, alternatives, absolute return, asset allocation and illiquid assets.

As a Responsible Employer, Equal Employment Opportunity is crucial to Candriam. We are committed to building the best global team that represents a variety of backgrounds, perspectives, and skills. We provide an inclusive work environment and support wellbeing and work-life balance.

The Quantitative Equity Management team manages assets across active global, US, European and Japanese long-only equity funds and institutional mandates, as well as a long/short market-neutral strategy.

We are looking for a Quantitative Equity Analyst to strengthen the team’s research capabilities and contribute to the continued development of its investment strategies.

The successful candidate will conduct applied quantitative research aimed at enhancing the existing investment framework and identifying new, differentiated sources of alpha. This includes improving current stock-selection models and developing complementary strategies that broaden and diversify the team’s investment approach.

Responsabilities

• Conduct quantitative research into new equity signals, datasets and investment strategies.
• Enhance and extend the team’s existing stock-selection models and research framework.
• Identify complementary sources of alpha across investment styles, regions and market environments.
• Assess the robustness, economic rationale and scalability of new signals and strategies.
• Design and perform rigorous backtests, including transaction costs, liquidity constraints and implementation considerations.
• Analyse signal interactions, factor exposures, portfolio risks and performance across different market regimes.
• Explore alternative and unstructured datasets, as well as advanced statistical, machine-learning and AI techniques where relevant.
• Translate successful research into robust, production-ready investment solutions.
• Collaborate closely with Quantitative Fund Managers on portfolio construction, strategy implementation and ongoing model monitoring.
• Clearly present research findings and investment recommendations to colleagues and internal decision-making committees.
• Contribute to the team’s research agenda and challenge existing approaches constructively.