Data Analyst Intern - Electronic Trading & Data - AXA Investment Managers

AXA Investment Managers; Puteaux; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

AXA Investment Managers is offering an internship focused on trading automation and data analysis. Interns will work closely with data scientists and traders, helping to enhance data structures and produce insightful visualizations. Candidates pursuing a master's degree with a strong foundation in SQL and Python are encouraged to apply.

Qualifications

• Master's degree in finance, data engineering, or similar is required.
• Experience with SQL ETL pipelines preferred.
• Strong analytical and numerical background is essential.

Responsabilités

• Contribute to trading automation projects and work with data scientists.
• Build reports and presentations to summarize trading data.
• Enhance data structure and optimize queries for reporting.

Connaissances

SQL

Python

Data Visualization

ETL Pipeline Skills

Analytical Skills

Communication Skills

Formation

Master's degree in finance, data engineering or relevant subject

Outils

Tableau

Power BI

Description du poste

AXA Investment Managers (AXA IM) is a leading asset manager offering a broad range of investment opportunities across traditional and alternative asset classes. Through our products, we aim to diversify and grow our portfolios while delivering value and long-term investment performance to our clients.

As of December 2024, AXA IM manages approximately ₠879 billion in assets, including ₠493 billion incorporating ESG, sustainable, or impact criteria. We are committed to achieving the goal of net-zero greenhouse gas emissions by 2050 for all eligible assets, as well as integrating ESG considerations into our activities, from security selection to our actions and corporate culture.

As of December 2024, AXA IM employs over 3,004 people across 24 offices in 18 countries. AXA IM is part of the AXA Group, a global leader in insurance and asset management.

DISCOVER your opportunity

The main responsibilities of the role :

• Electronic Trading & Data :

o Contribute to trading automation projects on FX, Fixed Income and Equity asset classes. Interact with traders and data scientists to establish optimal criteria for auto-execution.

o Interact with Global Markets Coordination team to understand trading platform configurations, implement tables in our database to monitor auto-execution criteria.

o Build and provide reports / presentations / analytics required by top management to summarize auto-execution activity clearly and precisely.

o Become a stakeholder of the global data process to enhance our data structure and optimise queries.

o Perform checks and ensure reliability of the data in our golden sources.

o Focus on FX, Equity & Fixed Income datasets, understand their structure and take ownership of certain Tableau reports.

o Help improve the overall data pipelines for reporting and machine learning project purposes.

• High Touch Trading data :

o For each asset class, understand and work on how are measured the key performance metrics in execution in or

o Use these metrics to help rationalize reports and get alerts when we have data quality issues (Tableau).

o Create flexible tools (using Python or Tableau) to make these models accessible and integrated in our trading workflow.

What the internship will offer

As an intern, you'll be immersed in a financial environment and learn about asset management and trading. You'll gain experience in working first-hand with data scientists and traders to analyse and illustrate the trading data to solve business problems.

Education / Qualifications

• Having or pursuing a master's degree in finance, data engineering, or other relevant subject.

Experience

• Prior experience in data manipulation and ETL pipelines with SQL, and experience in dataviz tools are a plus.

Knowledge and Skills

• Strong ETL pipeline skills : SQL, python, pyspark, databricks knowledge
• Appetite for clean data visualisations and BI tools such as Tableau, Power BI
• Strong numerical and analytical background.
• Interest for finance and data.
• Ability to produce clear, structured, and production-ready code.
• Curious and eager to learn.
• Aptitude for problem solving and finding clever solutions to complex unstructured systems.
• Ability to articulate ideas clearly with sharp communication skills and a teamwork mentality.
• Proactive, autonomous, and results oriented.
• High attention to detail.
• Fluent spoken and written English.

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