Quantitative Equity Researcher F/M

Candriam; Brussel; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Candriam, a global asset manager, seeks a Quantitative Equity Researcher to strengthen its Equity Management team in Brussels. You will conduct applied quantitative research to enhance stock-selection models and develop new strategies.

The role emphasizes producing robust, production-ready investment solutions, collaborating with fund managers, and presenting findings to committees. A master’s degree or PhD and at least five years in the field are required.

Qualifications

• 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.
• Strong knowledge of equity markets, quantitative stock selection, factor investing and portfolio construction.
• 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.

Responsabilités

• 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.

Connaissances

Python

Data handling

Statistics

Model validation

Machine learning

AI in investment

Team collaboration

Formation

Master's degree

PhD

Description du poste

Business unit

Investment Management - Equity Management

Job title

Quantitative Equity Researcher F/M

Contract type

Permanent

Candriam Group Presentation

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 Researcher 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.

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.

Candidate criteria

Education

• Master's Degree I / Bac+4

Minimum Level Of Experience Required

6-10 years

Languages

English (C1 - Fluent)