Fraud Management - Senior Data Scientist DK

Location: Høje Taastrup

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Join Fraud Management, a team of experts within different areas of expertise, responsible for ensuring an agile high performing fraud detection setup across payments, cards and loan applications. We are currently looking for an experienced data scientist to help expand our data science competencies to work on fraud detection models, and you have the possibility to contribute.

The team is located in Copenhagen and Vilnius – You will be based in Copenhagen and be part of a professional, Nordic environment with a strong focus on performance, academic insights and emphasis on delivering results.

Depending on your experience and knowledge we may offer you a different seniority of the role.


You will be working with data analysis and development of supervised machine learning models for our fraud detection solutions. The ultimate goal is to create an excellent customer experience and reduce the impact of fraud. Your approach is proactive, and you believe in collaboration with colleagues as the key driver of success.

We are looking for people with genuine interest in researching and applying state-of-the-art machine learning methods. This will likely be demonstrated via an academic publication track record and/or GitHub repo. We offer you an opportunity to continue learning through interactions with colleagues, a weekly journal club and dedicated time for research.

Focus area

  • You continuously improve and innovate new and existing models, through either frequentist or Bayesian predictive modelling techniques.
  • You are keen to apply your theoretical insights and practical experience to solve real problems. Concepts like eigenvalues, inner joins, posterior distributions and sigmoids should not be new to you.
  • You are hands-on and willing to take part in all aspects of developing and maintaining supervised and unsupervised models for fraud detection.
  • In your daily work, you will have close collaboration with fraud experts and IT to bring the best solutions to life.

About you

We are looking for an open-minded individual, who shares our passion ongoing education as well as using statistical methods to solve real-world problems at scale. You will working alongside with accomplished peers in an friendly environment, where asking questions is as viewed as a prerequisiute for coming up with the best possible answers.

  • You likely hold PhD degree within a quantitative field and have extensived experience with applying techical methods to solve-real world problems.
  • Ideally, you can combine solid business acumen and commercial awareness with experience within scripting languages and extraction of structured, semi-structured and unstructured data.
  • You have an analytical mind-set and a fact-based approach and you understand the need for applying data as a competitive advantage in the banking environment.
  • You are result-oriented and with a positive mind set and a proactive attitude.
  • You are inquisitive by nature and eager to develop and learn.


Feel free to reach out to Head of Fraud Analytics & Data Science, Nicholas Clark for more information via e-mail: or phone on +45 5384 8030.

Please send your cv and application by the application deadline on Sunday, February 14th, 2021.

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