Candriam stands for "Conviction AND Responsibility In Asset Management" and is a European multi-specialist asset manager. A pioneer and leader in sustainable investments since 1996, Candriam manages around EUR 156 billion of assets under management with a team of 600 professionals. It operates management offices in Luxembourg, Brussels, Paris, and London, and has client representatives in more than 20 countries throughout continental Europe, the United Kingdom, the United States and the Middle East.
Candriam offers investment solutions in several key areas: bonds, equities, absolute performance strategies, and asset allocation, with a broad and innovative range of ESG strategies covering all its asset classes.
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.
As a Quantitative Researcher Intern, you will join the Multi-Asset Quantitative Strategies team. You will contribute to solving complex problems and developing advanced quantitative solutions.
The internship is expected to start in March.
You will integrate the Multi asset quantitative strategies team as an intern quantitative analyst/researcher:
- Participation in quantitative trading model development, as well as portfolio construction and optimization tasks.
- Contribution to flow and arbitrage modelling.
- Analysis and processing of daily and intraday datasets.
- Support in the development and enhancement of the internal back‑testing platform (Python).
- Involvement in quantitative research projects, including:
- Asset Allocation using Reinforcement Learning
- Relative Value strategies based on clustering methods
- Pattern Recognition strategies using Machine Learning techniques
This role provides the opportunity to work on innovative strategies, collaborate with a high-performing team, and develop valuable skills in quantitative finance and programming.
University Master's degree, engineering or business school.
- Strong experience in quantitative modeling, with the ability to apply advanced analytical methods.
- Solid proficiency in Machine Learning, and comfort working with relevant frameworks and tools.
- Advanced Python programming skills, essential for research and model development.
- Familiarity with the .NET framework would be an additional asset.
- The ability to work autonomously, with a structured and rigorous approach.
- A strong research mindset, demonstrating curiosity and a desire to explore new quantitative ideas.
- A willingness to share ideas and express convictions clearly within the team.
- A collaborative attitude, combined with flexibility and adaptability.
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