Data Scientist
- better serve the business,
- boost and motivate teams by simplifying processes and improving tools and
- increase our effectiveness, also in terms of costs.
- to manage the pricing complex investments, with new type of investments coming frequently,
- to manage the several accounting norms and their evolution
- to manage the multiple stakeholders using different inputs, output features and tools
- to have the solidity of a robust process under the scrutiny of various internal controls and the agility to adapt rapidly to market crisis or other circumstances.
- Developpe and improve the process of earnings projection on financial assets across the group
- Contribute to the development of a tool taking a deterministic approach to forecast earnings, invested assets and cash flows to facilitate the building of strategic plans, sensitivities, impairments and other simulations.
- The mission encompasses the design and development of such a tool using SQL/Python in a Spark environment (Azure Databricks), the writing of a documentation and the creation of a dynamic restitution of the results using a web-based reporting tool with regular production of the outputs/reports, including quantitative controlled data
- Help in Coordinating the tool use and outputs/reports production with local investment teams,
- Produce of reliable, readable, version controlled, documented & commented code in SQL/Python
- Maintain a comprehensive and up to date documentation of the code/project.
- Ensure the integrity & consistency of the tool while integrating new features (such as pricing methods)
- Ensure architecture and Infrastructure proper evolution
- Developpe the platform enhancement with new accounting norms
- Provide support to entities on the solution.
- Implement new functionalities based on user needs (tool ergonomics, outputs, API for local entity financial tools)
- Excellent knowledge of R/Python programming
- Excellent knowledge of Spark SQL
- Knowledge of a data visualization and analytics tools (such as Spotfire, Tableau, Rshiny,...)
- Knowledge of Azure (Databricks, DevOps, Data Factory, Azure Storage Explorer) is a plus
- Knowledge of SAS & SAS Risk Dimension is a plus
- Good knowledge of financial markets / financial instruments and valuation is a plus
- Fluent English
- Excellent verbal and written communication skills
- Strong organization skills with the ability to manage multiple tasks and deadlines simultaneously
- Ability to work with attention to detail and follow-through
- A responsible company, towards people, including its employees and customers, and towards the planet
- A company with strong values
- A company promoting internal mobility and the training of its employees
- A company offering many benefits (learn more here: Reward & Benefits | AXA Group)
- A flexible company, allowing hybrid work, in the office and from home.
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