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As a Data Engineer here at Klarna, you'll get to research and implement new credit risk variables into our credit risk systems.
More specifically, you?ll get to;
Identify, implement and test new credit variables in our Hadoop based credit risk decisioning systems that perform credit scoring in real time.
Your primary focus will be on structuring a multitude of existing data sources to make them available to our risk variable library.
Ensure new variables fit our global requirements and align with our wider business goals.
Gain a deep understanding of the implications of different data sources used at Klarna.
Analyse the performance of different data pipes and aggregations.
Set up a monitoring framework that different teams can use to keep control over their datasets.
You'll need to have;
An expert knowledge of using SQL to query and restructure data within large data stores; we mainly use Hive to query our Hadoop cluster.
An interest in big data and data innovations.
An academic background in Information Science, Computer Science or a mathematical discipline.
The opportunity to learn about how we effectively make near real time credit risk decisions for millions of users worldwide.
Grow your knowledge in the use of the Hadoop ecosystem to store, structure and process large data sets.
Extensive learning and development opportunities.
30 days annual leave with the ability to take 4 weeks consecutive leave.
Get your choice of Macbook or PC and iPhone or Android.
A learning and development centric environment with an emphasis on knowledge sharing, training and regularly sponsored tech talks.
Generous occupational pension and insurance plans.
International English speaking office in central Stockholm with over 38 nationalities - https://insideklarna.com/2016/06/16/the-klarna-house/
Subsidised gym membership.
Interested in finding out more?
Send over your CV in English and let's arrange a chat.