Data Scientist & Modeling (m/f/n)

Overview Department : Energy Management & Trading | Location : Esch-sur-Alzette | Contract : Permanent Job Requisition N° 19741 Your tasks 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. Your profile 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. What We Offer “Together we build the future of Luxembourg’s energy transition” 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. For external applications, a recent copy of the police record will be requested if you are invited for an interview. Seniority level Entry level Employment type Full-time Job function Other Industries IT Services and IT Consulting J-18808-Ljbffr

Location: Lu, Piemonte, IT

Posted Date: 9/16/2025