Analyst

About Us
With over 85 million global active users and 2 million transactions per day, Klarna is on the way to becoming the world’s favorite way to shop. To help us get there, we’re assembling an unparalleled global talent team—accelerating individual careers, and disrupting entire industries. We’re looking for people ready to achieve the extraordinary and embrace our bold ambitions as we shape the future of payments and fintech. Will you join us?


Who you are
We are looking for ambitious people with significant drive! We need problem solvers, initiative takers, people that see opportunities and potential to improve. You should be passionate about your job and enjoy a fast paced international working environment. You will play an important role in taking Klarna to the next level - thus, you should desire to go above and beyond to deliver and grow as an individual. At Klarna we embrace change, you should dare to challenge the status quo and be persistent in doing so.


What you will do
Analytics at Klarna is divided into several teams with their unique responsibilities. One of these teams is our Fraud Analytics Team, which focuses on the continuous improvement of our fraud real-time decisioning for every transaction processed by Klarna. E-Commerce is changing quickly and so do the patterns of fraud. We are looking for a Fraud Data Analyst to join our team! Our Analysts aim to identify patterns with the help of various tools to protect our business, merchants and consumers from any fraud related losses and risks.


Day-to-day we will see you:
Use statistical analysis tools and techniques to develop automated fraud detection and real-time decisioning strategies
Scrutinize, expand and code our real-time fraud policies to optimize our ability to detect and prevent fraudulent behavior
Create, test and monitor new fraud tools and strategies from scratch
Collaborate with Data Scientists to build and implement fraud pattern models
Work with other teams across the business (particularly Engineering, Product and Commercial) to devise robust fraud strategies for new products and markets
Work on proof of concepts involving new technologies and proactively seek out vendor and internal solutions to fraud problems
Ensure metrics and strategies are fit for purpose in terms of the current fraud environment and emerging threats
Work closely with the investigations team to understand threats and develop mitigations
Communicate and involve stakeholders to respond to any fraud related incidents as the first touchpoint for Legal, Finance, Engineering, Data Science and other partners



You should have:
A degree from a university in a numerate subject (e.g. Economics, Engineering, Mathematics, Physics)
Ability to analyze large quantities of data using statistical analysis tools such as SQL, Python or R
Exceptional analytical thinking abilities, decision making and problem solving skills
Experience in the entire Analytics lifecycle, from requirements gathering, data extraction, manipulation and analysis to sharing insights and advising on decision making
Excellent track record in optimizing business performance and identifying gaps in business strategy, with a focus on financial services, ideally risk or fraud
Working proficiency and communication skills in verbal and written English
Fantastic stakeholder management skills
Excellent attention to detail, prioritization skills and a results-driven mindset
Passion for learning about Risk and Fraud in the payment industry



Closing
Please include a CV in English.