Working Students Data Science

Would you like to work for Vattenfall, one of Europe’s leading energy companies with trading activities in the global energy markets? Do you want to contribute to the success of the trading function using your analytical capabilities, programming skills, and commercial comprehension? In that case this student job could be the right one for you.

For our office in Hamburg we are looking for 5-6 Working Students Data Science (m/f/d) in the Trading Analysis & Algorithms department.

The Trading Analysis & Algorithms department within the Business Unit (BU) Trading works closely with the trading desks and takes the leading role in providing market insights, (fundamental and quan­titative) analysis, and ultimately commercial decision support across all commodity areas. As part of the department, the Algorithmic Trading desk works closely with the other trading desks and the Algo Infrastructure team and takes the leading role in algorithmic trading and automated trade execution across BU Trading from the intraday to term horizon.

Your main tasks and responsibilities as Working Student Data Science:

• Supporting the energy traders and trading analysts in
  • Identifying, reviewing, and integrating (new) information and sources/feeds for market or fundamental data, e.g., building web scrapers or data quality monitoring tools
  • Further developing and automating routines, procedures, and applications for analysis-related information and data flows
  • Visualizing data and analyses in dashboards
  • Further developing the fundamental and mathematical market modelling, incl. utilizing machine learning approaches
  • Conducting commercially relevant quantitative analyses by using advanced analytics
  • Tackling programming challenges
• Be part of the Trading Analysis & Algorithms department and contribute to its analysis output.

Requirements

Our ideal Working Student Data Science:

• Student enrolled at a university in a quantitative subject like data science, statistics, computer science, engineering or natural sciences – with a remaining duration of studies of at least 1 year and a willingness to work primarily from our office (home office possible occasionally)
• Strong programming (esp. Python), statistical, and analytical skills
• Ability to work with large, complex data sets in various formats
• Knowledge of energy markets advantageous but not required
• Good English language skills (both written and spoken), German language skills advantageous but not required
• Strong communication skills with the ability to communicate with various internal stakeholders and the willingness to share knowledge
• Result oriented, independent, and structured working method with high reliability and readiness to take on responsibility
• Proactive team player with eagerness to learn.