Jobbeschreibung
At Uniper, we proactively transform the world of energy while ensuring the security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply, as well as proactively help shape changes. Interested? We look forward to meeting you!
Our Quantitive Methods Team in Düsseldorf is looking for YOU!
- During the 18-24 months trainee program, you will develop a deep understanding of Uniper's business, its value drivers, and the business environment
- You will learn from, network and collaborate with experts from different fields across Uniper, contribute your ideas and work on your own projects
- You will contribute to our active trainee community, receive many training courses and development opportunities, and network with the trainee community
- You will start in Risk Management - Quantitative Methods for the first six months of your trainee program and then rotate flexibly upon your individual career development path and interests across the organization - you design your individual placement plan and receive support from your own mentor
- In your predefined home unit Quantitative Methods, you will develop and implement advanced valuation, risk management, and optimization models, ensure their effective use to manage financial risks and support new business origination, and collaborate across the organization to deliver comprehensive solutions
- Successfully completed studies in mathematics or physics
- First practical experience gained through internships and/or working student activities, ideally including intercultural experiences
- Motivation to learn and develop in an international environment, taking the initiative and proactivity while working in various teams and first experience in implementing numerical calculations of stochastic or other complex mathematical models in a modern programming language
- Communication skills and the ambition and skills to network among different stakeholders paired with analytical skills, including familiarity with common numerical methods and probability theory
- Fluency in English is required, German language skills are a plus