Quantitative Equity Analyst F/M

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

Investment Management - Alternative Investments

Job title

Quantitative Equity Analyst F/M

Contract type

Permanent

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.

Mission

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

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.

Profile

• A master's degree or PhD in finance, econometrics, statistics, mathematics, engineering, data science or another quantitative discipline.
• At least five years of relevant professional experience in quantitative equity research, systematic investing or a closely related field.
• At least five years of relevant professional experience in quantitative equity research, systematic investing or a closely related field.
• A master's degree or PhD in finance, econometrics, statistics, mathematics, engineering, data science or another quantitative discipline.
• Strong knowledge of equity markets, quantitative stock selection, factor investing and portfolio construction.
• Demonstrated experience in developing and testing systematic equity signals or investment strategies.
• Advanced programming skills, preferably in Python, combined with strong data-handling capabilities.
• Sound understanding of statistical methods, research design, model validation and the risks of overfitting.
• Ability to connect rigorous quantitative analysis with a clear economic and investment rationale.
• Experience with alternative data, machine learning or generative AI applications in investment research would be an advantage.
• A collaborative, intellectually curious and pragmatic mindset.
• #LI-POST

Job location

City

Brussels

Education

3. Master's Degree I / Bac+4

Minimum level of experience required

2-5 years

Reference

2026-444