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On our journey to become the world's favorite shopping method, we are building an unparalleled global talent network, accelerating individual careers and disrupting entire industries. We strive to free humanity from the pointless time spent managing their purchases and finances, allowing them to enjoy what they truly love. We're looking for global talent ready to embrace our work culture and surpass their own expectations.
Klarna was founded in Stockholm, Sweden in 2005. Since then, we've revolutionized the banking industry and are now creating the world's smoothest shopping experience. We serve over 90 million consumers worldwide and collaborate with 250,000 merchants, with a new one joining every 8 minutes. This includes some of the world's leading brands, such as H&M, ASOS, IKEA, Adidas, Samsung, and Lufthansa. We have offices across 17 different markets and host 4000+ employees from over 100 nationalities.
Our Data Scientists are situated throughout Klarna’s businesses, either in small technical teams managing a problem space or embedded as experts in cross-disciplinary teams comprising of Product Managers, Engineers, Designers, and more. We strive to develop Data Science products that our customers will adore and take pride in owning models from prototype to production.
As a Senior Data Scientist in Open Banking, your responsibilities will include developing, evaluating and implementing algorithms that transform Open Banking data into practical credit risk insights. You'll create new credit risk variables and machine learning models powered by this data. You'll help make the Open Banking products and services blend seamlessly into the broader consumer experience, innovating new solutions when necessary. You'll be providing technical expertise and thought leadership to risk and product teams globally. And above all, you'll collaborate efficiently with a broad mix of extraordinary colleagues.
Successful candidates need to have experience related to classification modeling, risk, product, or consumer analytics, and banking or finance. They also need to be proficient at developing predictive models using advanced machine learning techniques and algorithms from scratch, and be comfortable with using Python, SQL, and Git along with an understanding of cloud computing concepts. They should be fully versed in classical and recent machine learning models and algorithms. Communication, organization, and teamwork skills are vital, as is a university degree in a highly technical, quantitatively-based subject (such as Mathematics, Physics, Engineering, or Economics).
At Klarna, we value diversity, community, and the impact each employee can have. We trust and collaborate within our teams, sharing successes and learning from failures. We believe in the power of face-to-face interaction in building strong team bonds but also acknowledge the effectiveness of remote work. You can choose between working from the office, a hybrid approach within your employment country, or remotely for up to 20 working days per year.
We challenge our employees and reward their efforts, offering a variety of Swedish style benefits including support for parents and health and wellness perks. Klarna, founded in 2005, has remained on a mission to revolutionize the retail banking industry. With over 150 million active users globally and 2 million transactions per day, we are changing consumers’ demands by saving them time and money and helping them stay informed and in control. For more information, visit Klarna.com.
Every qualified individual will be evaluated based on their skills irrespective of age, gender, identity, ethnicity, sexual orientation, disability status, or religion. We kindly ask you to refrain from including your picture and age in your application.
