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Data Scientist
  • Python
  • Spark
  • SQL
  • Data Analysis
  • Hadoop
139 days ago


  • Culture: Established
  • Size: Large
  • Swedish: Required


  • Leadership: Self
  • Experience: Established
  • Stack: Traditional

Are you interested in working with large data sets, discovering insights and building statistical models? Do you want to dig deeper into and be part of developing the area of KYC/AML at SEB? Then this might be a great opportunity for you!

SEB is currently looking for a Data Scientist who wants to be part of the Customer Insight Analytics team within their Customer Insight & Experience support function. As their new Data Scientist you will be working with KYC/AML-related tasks together with an established central team in the SEB division. This role will be pivotal in working data driven and developing the analytics capabilities within the area.

About the position

As a Data Scientist, you will be responsible for driving the advanced analytics agenda within KYC/AML. You will extract complete and accurate data to get a comprehensive view and interpreter, describe and visualize the data in an easy and understandable way. It is important to understand and convert business needs into verified data analysis and based on findings suggest areas of improvement and new way of working with data that could result in new code and tools.

This role includes the responsibility for supporting different parts of the division with well-founded decision-making analysis in order for you to be able to work proactively in identifying potential future risks and opportunities. It’s very importantly that you can provide good analyses and advisory that caters for current and future requirements. Close collaboration with relevant data- and regulatory functions is key, and examples are; Group Data Office, GAKO, Compliance, KYC/AML Center and similar functions within other divisions. It’s a great advantage if you have experience and understand the KYC/AML regulatory landscape but not a requirement.

Well-founded decision-making analysis

We think you:

  • Have few years of experience in Data Science
  • Have a relevant experience of collecting, analyzing and interpreting large volumes of data.
  • Have experience in developing statistical models for usage in daily business work – detecting patterns, risks and opportunities, etc.
  • Have good knowledge of computer languages such as R, Python or SQL.
  • Have the ability to work with frameworks like Hadoop, Spark and SQL-servers is also important.
  • Are interested in testing, evaluating and exploring new technologies within the Data Science Area
  • Like storytelling, have good presentation skills and ability to communicate complex content and findings to stakeholders in the organization.
  • Have university degree within the relevant field, such as Statistics, Mathematics, Computer Science or other.

This position is located at the SEB headquarters in Arenastaden, Solna.

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