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, 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.

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.

Your responsibilities will include:

• Researching and implementing quantitative trading models.
• Working on portfolio construction and optimization techniques.
• Conducting analysis on flow and arbitrage modeling using daily and intraday data.
• Contributing to the development and enhancement of a back-testing platform using Python.
• Exploring cutting-edge topics such as:

               - Asset Allocation with Reinforcement Learning.

               - Relative Value Trading leveraging clustering techniques

               - Pattern Recognition Strategies using Machine Learning.

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.