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.
The Quantitative Equity Management team, which is part of the Alternative Investment Management department manages over EUR 9 billion in assets in active Global, US, European and Japanese long only equity funds and mandates for institutional clients as well as a long/short market neutral strategy.
A significant portion of these assets is managed using a combination of an ESG and Quant approach.
The team comprises 9 Quantitative Fund Managers / Researchers. Each aspect of the investment process – from selection of the data sets and the development of stock selection models to the portfolio construction process – has been developed in-house by the team.
Your main responsibilities are the followings:
- Manage/optimize data flows and architecture.
- Daily implementation of strategies in funds or institutional mandates.
- Participate in the development and improvement of all aspects of the investment process.
- Participate in the development of new quantitative stock selection strategies.
• Master's degree with a focus on Engineering, Computer/Data Science, Mathematics, Finance or Econometrics.
• CFA designation is a plus.
• 5 years of experience in the financial sector, preferably in areas such as asset management, consulting, or financial research with a focus on equity management.
• Strong interest in financial markets and passion for equity analysis and investments.
• Team player with strong interpersonal skills.
• Analytical mind, innovative, and client-solution driven.
• Structured and disciplined in your day-to-day work, with a pragmatic approach.
• Proficient in Python and/or Matlab.
• Strong data management skills.
• Working knowledge of AI tools is a bonus.
• Fluent in English; any other languages are a plus.
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3. Master's Degree I / Bac+4
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