Risk Data Analyst

• Front-End development using the React framework
• Participate in the design and development of the Backend API endpoints
• Coding, testing, debugging, and monitoring the frontend of our platform
• Implements front-office requirements into front-end functionality
• Actively participate in technical meetings with other teams and departments

• Bachelor or Master in Computer Science, Data Science, Financial Engineering, or related field
• Strong front-end development skills, and experience with a front-end framework such as React, Angular, Vue
• Experience with data visualization libraries/tools such as Plotly, ApexChart, D3.js
• Technical/programming skills and knowledge of software design best practices
• Experience with back-end development with C# and or Python is a plus
• Knowledge and interest in financial and commodity trading is a plus

• Competitive remuneration
• Working in a dynamic international team
• High degree of responsibility and independence
• Friendly and modern working environment

MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi-commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets.

MET Group is represented in 21 countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Czech Republic, Croatia, France, Germany, Hungary, Italy, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Switzerland, The Netherlands, Turkey and Ukraine.

MET Group is present in 33 national energy markets and 44 international trading hubs. The Group has a significant end-consumer presence in Belgium, Croatia, Italy, Hungary, Romania, Slovakia, Spain, and The Netherlands.

MET Group has 1350+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation*.

We are developing our Risk & Analytics platform, integrating financial models and data pipelines and visualization. This role offers the opportunity to be part of a dynamic analytics, modelling and development team focused on risk management and asset valuation.