Data Scientist & Modeling (m/f/n)

• You will contribute to build automated and/or algorithmic trading and decision models and devices, accordingly to business need and related profit perspectives in a given risk framework.
• You identify and develop ad-hoc mathematical models in order to implement the relevant automated trading strategies.
• You identify and collect all necessary data in order to setup these models.
• You contribute to build a dedicated data warehouse for the sake of both model analysis and strategies backtesting.
• You contribute to ensure a proper model execution reliability (performance monitoring & associated risks identification).
• You contribute to develop advanced analytics in order to visualize relevant information in a meaningful way.
• You document relevant models descriptions needed for the stakeholders (risk committee, internal audit, …).
• You contribute to improve existing algorithms and models, and contribute to automate business processes.

• You hold a master's degree in a quantitative discipline (i.e., mathematics, physics, statistics, actuarial sciences, finance, engineering). A relevant PhD would be considered as asset.
• Programming skills in at least one of the following: Python. Experience with Docker and Airflow is a plus.
• You communicate and collaborate easily with different stakeholders.
• You are a result-oriented person and have an analytical mindset.
• Rigour and precision are your strengths, as well as curiosity and the willingness to explore new topics on a regular basis.
• You are fluent in English. The knowledge of German and/or French will be considered as an advantage.

• The opportunity to join a Group that actively shapes the energy transition in Luxembourg and the Greater Region.
• A multicultural and international working environment that encourages diversity and inclusion.
• A competitive salary with additional benefits (e.g. pension plan, additional health insurance, meal vouchers, free parking, company restaurant, etc.).
• A significant stability of employment and the possibility to evolve within the Group.
• Continuous learning and development career path adapted to the needs of each employee.
• Hybrid working mode with the possibility to work from home.

Enovos