Om tjänsten
Numbers tell stories, and in credit risk, those stories decide how a bank understands its customers. We're looking for a Data
Scientist to join our IFRS9/Modelling team and help shape the models that measure risk for over a million customers across six
countries. If you enjoy the mix of modelling, engineering, and real-world impact, this could be your next chapter.
Introduction to the team:
We are the IFRS9/Modelling team, and credit risk sits at the heart of how we run the bank. We build the models that quantify
expected credit losses, and the in-house engine that turns them into the bank's monthly figures - covering unsecured loans, credit
cards, and credit lines across Norway, Sweden, Denmark, Finland, Germany, and Spain. Right now, we're moving that engine from
on-premises to Databricks on Azure, and shaping how we build in the cloud.
About the role:
As a Data Scientist, you develop the credit risk models behind our customers' risk profiles and help maintain the engine that puts
them into production. You'll move between modelling, engineering, and analysis, and see your work through from data to decision.
What you'll do:
Who we're looking for:
You're structured, turning recurring tasks into documented procedures you keep refining. You're at home in complex systems,
tracing results back to their cause. You're accountable, curious, and self-driven, equally comfortable working solo or as part of
a team, and used to juggling parallel projects within a monthly reporting cycle.
Beyond this, we're looking for someone with:
Strongly preferred: experience with credit scoring or scorecard modelling (binning, WoE, logistic regression, calibration,
Gini/PSI monitoring), and banking or credit risk experience.
A plus: IFRS9 models, Databricks/Azure or other cloud platforms, CI/CD pipelines, and fluent in Norwegian, Swedish, or Danish.
You don't need to tick every box, if most of this sounds like you, we'd love to hear from you.
In addition to this, it is important to us that you recognize yourself in our values: we are wholehearted, we collaborate and we
take the lead.
Practical information:
- For this position, we conduct a credit check on the candidate we offer the job to. Employment is contingent upon a satisfactory
result.
Have you heard of NOBAVERSE?
In our NOBAVERSE, we value openness, trust, and diversity. Here, you can influence your own development and have fun along the way
to achieving our goals – all in a workplace that’s a little extra bubbly! ✨
Read more about our employee value proposition on our careers page.
Read more about how our recruitment process works in the FAQ.
We care for your privacy and, with reference to the GDPR, would like to ask you not to include any sensitive personal data in your
application, for examples information about ethnic origin, political opinions, religious beliefs or information about your health.
Read more about how we handle your personal data here.
If you have any questions or concerns about the position, please contact the responsible recruiter.
We look forward to receiving your application! 🙏✨
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