AXA Investment Managers (AXA IM) is a responsible asset manager, actively investing for the long-term to help its clients, its people and the world to prosper. Our high conviction approach enables us to uncover what we believe to be the best global investment opportunities across alternative and traditional asset classes, managing €844 billion in assets as of December 2023.

AXA IM is a leading investor in green, social and sustainable markets, managing €480 billion of ESG-integrated, sustainable and impact assets at the end of December 2023.

We are committed to reaching net zero greenhouse gas emissions by 2050 across all our assets, and integrating ESG principles into our business, from stock selection to our corporate actions and culture. Our goal is to provide clients with a true value responsible investment solution, while driving meaningful change for society and the environment.

At end of December 2023, AXA IM employs over 2,700 employees around the world, operates out of 26 offices across 18 countries and is part of the AXA Group, a worldwide leader in insurance and asset management.

DISCOVER your opportunity 

The main responsibilities of the role:

·       Trading / CRM data:

o   Help improve the overall data process of Counterparty Relationship management.

o   Interact with Business Coordination team in the global counterparty onboarding & offboarding process and analytics. 

o   Provide the reports/presentations/analytics required by top management when they interact with our counterparties’ executives.   

·       Data engineering:

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   Manage upgrade of essential trading and brokers’ performances reports. 

·       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.

Nous nous engageons à vous offrir un environnement où vous pourrez :

Développez votre potentiel : Intégrer une entreprise engagée sur le développement de ses collaborateurs via une mobilité interne dynamique et une large offre de parcours de formation personnalisés.

Personnalisez votre manière de travailler : Travailler pour une entreprise qui s'engage à garantir flexibilité et équilibre à ses employés, en vous offrant une large gamme d'avantages (intéressement, télétravail, avantages sociaux compétitifs, etc.).

Epanouissez-vous par la diversité de notre communauté : Jouer un rôle au sein d'une entreprise inclusive qui reconnaît et valorise activement les différences individuelles dans un environnement de travail diversifié et inclusif.

Faites avancer le monde : Rejoindre un employeur responsable qui agit en faveur des causes sociétales et environnementales en tant qu'investisseur, assureur et entreprise, notamment au travers de l'association AXA Atout Cœur. Dans le cadre de notre engagement en faveur de la durabilité et de la responsabilité environnemental, nous célèbrerons votre arrivée en plantant un arbre.

SHARE your unique experience:

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

·       Pursuing a master’s degree in finance, Data, Informatics, or other relevant subject.  

Experience

·       Prior internship experience in Dana analysis and more particularly experience in using Tableau.  

Knowledge and Skills

·       Strong knowledge and experience with Tableau are essential.

·       Strong numerical and analytical background.

·       Interest for finance and data.

·       Ability to produce clear, structured, and production-ready code.

Competencies

·       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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