BNP Paribas Asset Management (BNPP AM) is the asset management division of BNP Paribas Group. As of July 1, 2025, AXA Investment Managers’ (AXA IM) activities have been fully integrated into BNPP AM, creating a unified and strengthened global platform.

BNPP AM is a leading global asset manager, leveraging the Group’s scale, stability, and expertise. We serve a diverse client base, including institutional investors, corporations, distribution partners, and retail clients worldwide. Our investment capabilities cover a broad range of asset classes, from traditional strategies like equities, fixed income, and multi-assets to alternatives such as real estate, infrastructure, private debt, and private equity. This allows us to tailor solutions to meet client objectives.

With AXA IM’s integration, BNPP AM now ranks among Europe’s top asset managers, managing approximately €1.6 trillion in assets, with a focus on long-term savings and alternative strategies.

Sustainability is central to our approach. We prioritize ESG and responsible investing to deliver sustainable, long-term performance while supporting environmental, social, and economic transitions. Adopting a pragmatic, long-term perspective, we aim to generate durable value for clients, employees, and the economy, backed by strong risk management and responsible finance principles.

All figures are sourced from publicly available data as of September 2025.

Your daily responsibilities:

Data Architecture Optimization: You will enhance the data structure and optimize queries. You will perform rigorous checks to ensure the reliability of data from golden sources and manage the upgrade of essential trading and broker performance reports.
Execution Performance Analysis: For each asset class, you will understand and measure key performance metrics. You will use these metrics to rationalize reporting and implement alerts for data quality issues using Tableau.
Decision-Support Tool Development: You will create flexible tools (using Python or Tableau) to make these models accessible and integrated into the trading workflow. You will contribute to building state-of-the-art Transaction Cost Analysis (TCA) for equities, listed derivatives, FX, and fixed income, while incorporating quantitative pre-trade analytics.
Client Relationship Data Management: You will help improve the overall data processes for Counterparty Relationship Management. You will interact with the Business Coordination team to optimize analytics and the global counterparty onboarding and offboarding processes.

Are you our next Data Analyst Intern ?

Master’s degree (or university equivalent) in Finance, Data, Computer Science, or a relevant field.
Prior experience in data analysis (including internships) is welcome.
Strong numerical and analytical background.
Ability to produce clear, structured, and production-ready code.
Fluency in spoken and written English.
Proficiency in Python, PySpark, or Business Intelligence tools (such as Tableau) is a plus.
Adaptability
Curiosity and eagerness to learn
Problem-solving skills for complex systems
Teamwork and clear communication skills
Rigor and high attention to detail

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