Quantitative Equity Researcher F/M

Il y a 2 jours

Brussels, Belgique Candriam Temps plein

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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.

Quantitative Equity Researcher F/M

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