Quantitative Equity Researcher F/M

eFinancialCareers; Brussel Hoofdstad; On-site; EUR 90,000 - 120,000; Full time

Job summary

Candriam, a global asset manager, seeks a Quantitative Equity Researcher to advance signals, datasets and models for long-only and long/short strategies based in Europe. The role emphasizes rigorous backtesting, robust research design and collaboration with portfolio teams.

Ideal candidates hold a Master’s or PhD in a quantitative field, with strong Python skills and a deep understanding of equity markets, factor investing and risk management.

Qualifications

• Five or more years of relevant professional experience in quantitative equity research or closely related field.
• 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.
• Experience developing and testing systematic equity signals or investment strategies.
• Advanced programming skills, preferably in Python, with strong data-handling capabilities.

Responsibilities

• Conduct quantitative research into new equity signals, datasets and investment strategies.
• Enhance and extend the team's stock-selection models and research framework.
• Identify complementary sources of alpha across investment styles, regions and market environments.
• Backtest signals and strategies with transaction costs, liquidity constraints and implementation considerations.
• Collaborate with fund managers on portfolio construction and monitoring.
• Present research findings and investment recommendations to colleagues and committees.

Skills

Quantitative research

Python programming

Statistics

Data handling

Collaboration

Education

Master's degree or PhD in quantitative discipline

Tools

Python

Job description

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.

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

• 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.

Position location

Job location Europe, Belgium

City Brussels

Candidate criteria

Education

3. Master's Degree I / Bac+4

Minimum level of experience required

6-10 years

Languages

English (C1 - Fluent)