Le Groupe AXA est un leader mondial de l'assurance et de la gestion d'actifs, avec 160 000 collaborateurs au service de 105 millions de clients dans 62 pays.
Nous protégeons et conseillons nos clients à chaque étape de leur vie, en proposant des produits et services qui répondent à leurs besoins dans les domaines de l'assurance, de la prévoyance, de l'épargne et de la gestion des actifs.
Notre mission : Agir pour le progrès humain en protégeant ce qui compte
Nos valeurs : Customer first, Intégrité, Courage et One AXA
Grâce à notre approche de conviction, nous sélectionnons les investissements en actions, obligations, alternatifs et dans les stratégies multi-actifs qui recèlent selon nous des meilleures opportunités à l'échelle internationale. Nous gérons à ce jour plus de 887 milliards d'Euros d'actifs.
Page d'accueil AXA IM FR (axa-im.fr)
AXA IM est un employeur garantissant l'égalité des chances et nous encourageons les candidats présentant un handicap ou toute autre caractéristique protégée à postuler. Nous nous engageons à fournir des aménagements raisonnables si nécessaires aux candidats qualifiés et aux employés handicapés pendant le processus de recrutement et dans l'exercice de leurs fonctions professionnelles essentielles.
Inclusion and Diversity Careers AXA IM Corporate (axa-im.com) AXA IM is an international asset manager and part of the AXA group, a global leader in insurance. Our team includes a wide range of skills and experiences to better meet our clients' needs.
As a Data Modeler you will join the Data Platform and will BE part of the Data Tech within the GCOO Department (Global Chief Operating Officer), covering the day-to-day operational functions of our business.
As part of its Data strategy, AXA IM has built a highly successful/state of the art Data Product Factory. About 15+ various Data Product squads from different domains (Data Referential, Responsible Investment, Quant & Research, Finance, Digital, Front office, Operations, Trading, etc.) are building their own data product suite and leveraging the data families produced and maintained by the domains themselves. The platform offers Data Pipeline industrialization, Data Science, Exploration, Visualization for our internal customers and other AXA Entities.
DISCOVER your opportunity
You will participate to the elaboration of the domain's data models and insure consistency of the platform in line with Data Tech and Governance standards. This will require you to understand the Data Platform content and distribution solutions as well as analyzing the usage. In this position, you will have to interact with data engineers, analysts and product owners from all AXA IM tech squads as well as data management team to help them designing the correct functional and technical model for their Data.
- Your role and responsibilities :
- Write down best practices on Data Modeling in collaboration with Architecture and Data Tech leads. You will then have to present IT to the Data community
- Evaluate data models already delivered and push for improvements (consistency, cross-compatibility, quality, meta-data adoption)
- Analyze business needs (directly or through the intermission of data analysts) to create solution data models at database and API level
- Work with data architecture and administrators
- Guide developers in implementing features for our internal customers
- Design control patterns to ensure global consistency across time
- Propose and design standards and norms relative to data modelling
- Participate to the assessment of our data families regarding the Data Governance & Accessibility KPIs
- Participate to the setup of reporting solutions
- Build tools to evaluate quality of standards for each tribe and means to help developers to avoid incorrect modelling
You will also work alongside our Business and your squad to :
- Participate to the Data Governance & Data Quality strategy
- Influence prioritisation and high-level delivery strategy
- Highlight optimization through constant feedback loops involving all actors of the value chain
- Influence towards tackling technical depth, testing automation, software industrialization
- Present Data Modeling KPIs you would have designed and built to give an overall status and progress
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