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Senior Analyst, Fraud Card Strategy
Posted on 3/8/2022
New York, NY, USA
Experience Level
Desired Skills
Business Strategy
Data Analysis
Data Science
  • Klarna is looking for ambitious people with significant drive who enjoy a fast paced international working environment. You will play an important role in taking Klarna to the next level!
  • At Klarna we embrace change, we appreciate when you challenge the status quo and are persistent
  • 3 to 7 years of relevant experience in analytics
  • Solid analytical thinking abilities, decision making and problem solving skills
  • Proficiency in SQL with the ability to analyze large quantities of data with statistical analysis tools
  • Experience in the entire Analytics lifecycle, from requirements gathering, data extraction, manipulation and analysis to sharing insights and advising on decision making as well as implementing changes
  • Excellent track record in optimizing business performance and identifying gaps in business strategy, with a focus on financial services, ideally fraud
  • Understanding of the underlying business and the need of calibration to reach the agreed balance between risk and revenue
  • Working proficiency and communication skills in verbal and written English
  • Demonstrated stakeholder management skills
  • Passion for learning and teaching others about fraud
  • A university degree in a numerate subject (e.g. Economics, Science, Engineering, Mathematics)
  • Use statistical analysis tools and techniques to develop automated fraud detection and real-time decisioning strategies for Klarna's card products
  • Collaborate with Data Scientists to build and implement fraud pattern models
  • Work with other teams and competences across the business (particularly Engineering, Product and Commercial) to devise robust fraud strategies for new products and markets
  • Create, test and monitor new fraud tools and strategies from scratch
  • 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, Sales, Engineering, Data Science and other partners
  • Act as a trainer and consultant for our internal and external stakeholders

1,001-5,000 employees

Payments service for ecommerce