Quantitative Methods Analyst (f/m/d) - #2234072

About

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 Risk Management department is looking for You!

Develop state-of-the-art valuation, risk management and optimization models, and implement them as software solutions into our systems infrastructure and processes.

Ensure the effective use of these models and analytics within the organization to

• Enable commercial functions to manage financial risks (market, credit, liquidity, weather).
• Contribute to origination of new business.
• Support and enhance risk management.
• Understand front-to-end business processes, and work effectively and collaboratively across all functions and levels of the organization to deliver solutions.
• Initial focus on multi-factor market model for Uniper's portfolio valuation, but we aim to give you a broad exposure over time.
• Promote dialogue and constructively challenge the status quo when appropriate to drive continuous business improvement.
• Support Uniper's digital roadmap, leveraging techniques like machine learning or technologies like cloud-computing to deliver better solutions.
• Take responsibility for individual projects and their delivery.
• As an experienced candidate we expect you to mentor and develop junior colleagues in your team.
• Your background in Mathematics, Physics, or a related field has given you a solid skillset in mathematical and statistical methods and the ability to creatively solve quantitative problems.
• Common numerical and optimization algorithms, and stochastic calculus are familiar to you. Deep experience in these areas is an advantage.
• You have experience with developing quantitative financial models. A track record of delivering such models in a commercial setting or experience in energy markets is a bonus.
• You have experience implementing quantitative models in a major compiled programming language such as C++, C#, Java, or Scala, and are familiar with Python. Ideally, you also have some experience with cloud-based continuous development.
• Close teamwork in a diverse, multicultural environment motivates you.
• You enjoy engaging with different business stakeholders to ensure the commercial value of your analytics, and you can communicate complex quantitative and technical content succinctly.
• You are fluent in English and can deliver high-quality presentations and documentation.
  
  

TITL1_DE

Nice-to-have skills

• Python
• Financial Modeling
• Documentation
• Physics
• Algorithms
• Scala
• Machine Learning
• Risk Management
• Communication
• Optimization
• C++
• Java
• C#
• Business Process
• C++
• C#
• Java
• Scala
• Python
• Machine Learning
• Cloud Computing
• Düsseldorf, North Rhine-Westphalia, Germany
  
  

Work experience

• Data Engineer
• Data Infrastructure
• Data Scientist
  
  

Languages

• English