Senior Decision Analyst

Credit Risk, Stockholm

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20 years ago, Nordnet redefined the financial world as the first digital bank in Europe and in 2017, we got awarded Bank of the Year. We are on a journey to build the best customer experience in our field, and to create the next generation bank. We know that this requires great people, great teams, and great technology. Do you want join us and shape the new Nordnet?

In brief

We are looking for a Senior Decision Analyst to join Nordnet’s Credit Risk department and the Decision Science function. We currently have 3 functions supporting the Credit Risk life cycle of Nordnet’s lending products being Margin Lending, Unsecured Lending and Mortgages. Nordnet’s Credit Risk department is expanding at a rapid pace and in the role as a Senior Decision Analyst you´ll have the opportunity to make a big impact on Nordnet’s lending business.

This is part of the role

As a Senior Decision Analyst you´ll take proactive responsibility of the models and algorithms constructed to support Nordnet’s decision making throughout the entire credit life cycle. You will also provide recommendations on how to grow and optimize the risk/reward trade-off connected to a healthy credit granting operation and continuously develop new models and construct adherent business strategies to further optimise the lending process.  

As a member of the Decision Science function and Credit Risk you’ll be working with industry standard open source tools and highly technical platforms to further drive the growth of Nordnet’s lending business. You’ll have the opportunity to bring experience to the table, but also further develop your knowledge in the field of Machine Learning and Quantitative Analytics within Banking and Finance.

This is you

Your background:

  • Degree within Economics, Computer Science, Mathematics or Statistics, or equivalent practical experience
  • Experience with databases and SQL
  • Experience with Analytics software such as Python, R, Julia or SAS, and/or other relevant programing language
  • Work experience with Quantitative Analytics, Machine Learning and A/B testing, preferably in a Consumer Lending or Bank setting
  • Fluent language skills in English are mandatory
  • Strong communications and stakeholder management skills

To be a good fit in the Decision Science function you should work well with others, have an open mind-set, and always hold your deliverables to the highest of standards. In the Decision Science function we collaborate heavily with other functions so it’s important to be able to share ideas, knowledge and best practices. In addition, it is of pivotal importance that you have a genuine interest for data, analytics and software in the context of Machine Learning and Quantitative Analytics. We pride ourselves in making data speak for us and to use it in all business contexts to make the best possible decisions. Moreover, we are very proud of our cooperative and friendly environment at Nordnet, so if that makes sense to you, you’ll fit right in!

We offer

Here at Nordnet you get the possibility to work in a Nordic environment with focus on innovation and technology to meet the financial needs of our customers. We are accelerating and renewing ourselves in order to build the best lending experience there is within our field! Our ambitions are high and you’ll join a fast paced and challenging journey with a great team and sharp colleagues that are committed to their work. Your own development is key and you’ll be a big part of continuously redefining the financial industry.

We are 530 employees in Stockholm, Oslo, Helsinki and Copenhagen. We collaborate, exchange ideas and use our core competencies in order to improve the way we meet our customers. Open communication, creativity and engagement are important parts of our everyday life at the office.

Visit us at: 

www.nordnetab.comwww.nordnet.sewww.nordnet.nowww.nordnet.dk and www.nordnet.fi.

Application

Please apply today by using the button below – we will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered.

If you have questions, please contact Sylvia Ndikumasabo on +46 70-604 11 09.

We want to inform you that Nordnet conduct credit and background checks on the final candidate.

We look forward to receiving your application!

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