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.
You will join the Multi-Asset Trading team as a Data Analyst and Trader Assistant, in a context of significant growth in fixed income trading volumes and increasing regulatory and client reporting demands. Your mission will be twofold: supporting the trading desk in its day-to-day operations and contributing to the production and automation of advanced trading analytics.
Trading Support
- Assist traders with pre-trade analysis, trade execution, and post-trade issue resolution.
- Monitor and follow up on trade bookings, liaising with Middle and Back Office teams to solve discrepancies.
- Support order monitoring and execution, including small order automation (FX, government bonds, investment-grade credit).
- Contribute to the development and improvement of pricing and pre-trade tools used by the desk.
- Act as a point of contact between the trading desk and IT teams for tool development and issue resolution
Data Analysis & Reporting
- Produce Transaction Cost Analysis (TCA) reports across asset classes: equities, fixed income, derivatives, and currencies.
- Analyze best execution factors (e.g., speed, order type, broker market share) in collaboration with Compliance.
- Automate standard TCA reporting and trade statistics tools.
- Prepare detailed monthly and quarterly trading activity reports for internal stakeholders, broker review committees, and regulatory bodies.
- Support the production of complex, non-automated TCA reports for institutional clients (e.g., pension funds).
- Respond to data requests from brokers, counterparties, and execution platforms.
- Master's degree (or equivalent) in Finance, Economics, or a related quantitative field.
- Solid knowledge of finance and financial markets.
- Strong coding skills, particularly in Python and VBA.
- Advanced proficiency in Power BI for data visualization and reporting.
- Autonomous, creative, and proactive mindset.
- Strong problem-solving abilities and analytical thinking.
- Good communication skills and ability to work collaboratively in a team environment.
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3. Master's Degree I / Bac+4
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