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We believe the future of mobility is electric. With the backing of BMW Group, Mercedes-Benz Mobility AG & BP we are one of the leading global drivers of the change to e-mobility. DCS was founded on a simple idea: charging an EV should be as easy as it gets. Together, we are developing digital solutions that help connect the drivers with a broad network of charging stations and thereby enable our users a seamless charging experience. 

Join our Financial Risk Management team and have a real impact on the success and safety of the company. You will take care of keeping DCS fraud-resistant and stay up-to-date with the ever-changing challenges of a digital company. You will take end-to-end ownership including project work and operational analytics. 

You have an analytical mind set and a quantitative background. You come with programming experience and know about statistics and machine learning. But most importantly, you love to learn. May it be math, statistics, programming languages, model types, or algorithms – you are keen on gathering and applying knowledge. You do not need to bring vast fraud expertise, but you need to be willing to build it. If this sounds like you, then go ahead and apply. We are looking forward to your application. 

 

Your Mission:

  • Build and maintain fraud detection models using supervised machine learning and anomaly detection.
  • Build and maintain a fraud detection monitoring and alerting system.
  • Operational and deep-dive data analysis.
  • Develop and improve regular reports and inform the management of the company.
  • Build a historic fraud case database.
  • Take care of fraud expert knowledge management and education in the company. 

 

Your Profile:

  • You have a quantitative background in math, natural sciences, economics or similar. 
  • You have experience in a quantitative role. 
  • You have a strong interest in learning and personal development. You want more than the 3-days bootcamp. 
  • You have programming experience in SQL and at least one analytical programming language like Python, R or Julia. 
  • You have first experience in statistics and/or machine learning. 
  • You have experience in:
    • a fraud prevention role in the line organization of a company (optional but beneficial: in a FinTech company)
    • and/or a developed and implemented (fraud) scoring models before
    • and/or you have experience in a senior level of a forensic department of consulting company (e.g. BIG 4 company)
    • and/or you have experience as a Fraud Analyst at a public authority like police, Federal Criminal Police Office (BKA) 

We offer

  • A unique opportunity combining the energy of a start-up with the power of  BMW, Mercedes Benz Mobility & bp
  • Working on products & services with a high social impact
  • An international team of talented people who love what they do and live a collaborative spirit
  • An open minded culture with room for growth and the freedom to bring in own ideas
  • Subsidized gym membership, subsidized office lunch benefit, a personal development budget for your professional growth, monthly mobility budget,  offsite/ team events & much more
  • Modern, sunny offices in Berlin & Munich
  • up to 3 days of home office in a week

… and of course the classics: delicious coffee & tea, fresh fruits and an office dog friendly environment  

At DCS we acknowledge the value of diversity, promote equality and challenge unfair discrimination. We strive to create an inclusive work environment, safe for anyone regardless of their gender identity, sexual orientation, abilities, ethnicity or race. We have the clear goal of driving diversity and inclusion across all dimensions and treat each applicant with the same respect and consideration. 

 

Get in touch!

Excited about being a part of the transition to e-mobility?

Then send us your application with your CV and motivational statement including your earliest starting date and salary expectations.

Don’t worry if you don’t think you meet all requirements for this position. First and foremost, we value like-minded, passionate people who want to make an impact in shaping the future of e-mobility. We encourage you to apply and convince us why you would be a good fit in a cover letter.

We are looking forward to hearin