In a nutshell

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Knab was founded in 2012 because we wanted to do things differently. Simpler, smarter and more advantageous for our customers. Because we believe we can help everyone maximize their financial affairs. "Feel at ease when it comes to your finances. Every day." By combining smart technical solutions with a healthy dose of human intelligence, we create financial services that really meet your needs. Add to that some of the sublime personal service from our employees and you end up with something that's truly unique to the world of finance! 

In 2022, KNAB aims to also offer a lending proposition to entrepreneurs to fund and fuel their businesses. The challenge at hand is to develop a digital value stream, using modern technology and co-creation with clients. We are building a diverse team of go-getters that blend lending expertise with tech-savviness, a strong affinity for data and obsession for customers. Aiming for a market introduction later this year, we are now seeking for talent to help re-imagine lending.   

In a nutshell 
As data scientist and data modeler you are part of the analytical back-bone of Knab. You like to take on complex challenges and can convincingly explain your work to your colleagues. You are not afraid to get to the bottom of things, but recognize situations where a swift solution is the best answer. You get energized by the idea of improving our services to our customers for an optimal customer-centric experience at one hand, and building towards a healthy profitable bank at the other hand. 

Your main responsibilities:  

  • Develop a data model for our new value proposition of business lending
  • Help build a data-driven way of working by developing insights, analyses and quantitative models.
  • Lead your stakeholders using your analytical capabilities
  • Take ownership of your personal development

The Team  
The Expert Center Data consists of 25 professionals with a big heart for Data, covering domains data science, data engineering, data management & data governance. The department works for all parts of knab. The team consists of all communicative 'beta nerds' who get energized by complex data challenges. You will report to our manager of Data Science, while working closely with the business lending value stream team on a daily basis to help kick-start lending for entrepreneurs in a data-driven way.   

Your Profile 
There is no set route to become a great Senior Data Scientist/Modeler at Knab. But to be successful in this role, this is the kind of profile we have in mind: 

  • Master degree in a quantitative field (e. Econometrics, Physics, Mathematics, Artificial intelligence, Business Analytics etc.)
  • 4+ years working experience
  • Proven experience with setting up a data model (conceptual, logical and physical, flow diagrams, etc.)
  • Proactive, driven to achieve results and flexible.  
  • Can draw the bigger picture before sketching the detail
  • Connects various pieces of information to each other to arrive at a conclusion
  • Can bring across a message clearly and concisely
  • Is able to work under pressure in a focused and precise manner
  • Strong coding skills in Python or R
  • Experience with SQL

Diversity Statement: Come as you are. Knab is an open workplace with positive vibes. We are inclusive of all nationalities, races and genders. We feel comfortable to bring our authentic whole selves to work and like you to do so too. 

Work with us! 
If you come to work with us, Knab will become a significant part of your life. Therefore, we make sure the ambiance is just as exciting as your job. Check the benefits! 

If you have any questions regarding this role or the process, please feel free to reach out to us! 

We don`t collaborate with third parties to fulfill this role.  


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Application procedure

1. You apply
You apply
2. Intake (phone)
Intake (phone)
3. First interview
First interview
4. Case
5. Second interview
Second interview
6. Third interview
Third interview
7. Offer
8. Pre-employment screening
Pre-employment screening
9. Whoo! New job!
Whoo! New job!

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