Senior Consultant Unsecured Investments (m/f/d)

If you like to examine complex data material, analyze complex investments, and want to work in a motivated team, the EOS Group is the right place for you. Our analysts get to the bottom of things. You optimize our methods and tools and constantly develop them further.​

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• You can put your analytical skills to full use by pricing non-performing loan (NPL) portfolios.
  
• No portfolio is the same and it's up to you to find the right analytical story to make us successful.
  
• Your work includes pricing projects in all countries in which EOS is active in debt purchase - as well as entries into completely new markets. In addition to Germany, these include many other countries across Europe.
  
• Your work has many different aspects: You prepare analytical forecasts, exchange your findings and forecasts with colleagues at home and abroad, pull all strings together, determine opportunities and risks and present your findings to the decision-makers yourself.
  
• You are part of the holding company and have high visibility and interaction opportunities within the group. Your forecasts are later decisive for the success of the portfolios won.
  
• We offer you an environment that brings many opportunities to develop yourself as well as your team. 
  

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• You have successfully completed your degree in economics or business administration with a strong numerical orientation, financial mathematics, or natural sciences..
  
• Relevant professional experience in the field of investment appraisal, e.g., from an activity in an investment division, debt collection, auditing or consulting company, bank, or insurance company is mandatory
  
• You have proven to be self-organized and being able to manage complex investment assessments
  
• You have a sound understanding of statistical measures and the ability to present relevant information for decision-makers  
  
• You enjoy collaboration with international colleagues, speak English fluently, and excel with your high comprehension, flexibility, and interest in economic contexts.
  
• You can apply your very good MS Office (especially Excel) skills in a professional setting and already have sound experience with other tools for mathematical-statistical procedures, such as R or Python.