At a Glance
- Tasks: Transform raw bank data into actionable insights for fraud prevention and underwriting.
- Company: Join Klarna, a leader in innovative financial solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and career advancement.
- Why this job: Make a real impact by developing machine learning models that drive financial decisions.
- Qualifications: Experience in machine learning, Python, SQL, and AWS required.
The predicted salary is between 63000 - 77000 £ per year.
As a Senior Data Scientist within our Open Banking team, you will build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data through to production deployment, working closely with engineering to operationalize your work at scale. You will also help monitor model performance, impact, and acceptance rates through dashboards you help build, and you will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure.
Who you are
- Experience building and deploying machine learning models end to end, from raw data to production
- Strong feature engineering skills, ideally with transactional or financial data
- Proficient in Python and SQL, with experience working in AWS environments
- Solid understanding of classification modeling techniques for risk or fraud use cases
- Comfortable partnering closely with engineering teams to bring models into production
- Strong communication skills, with the ability to work cross-functionally with Credit Modeling and Fraud teams
- A curious, ownership-driven mindset, comfortable building infrastructure and processes from scratch
Awesome to have
- Experience with open banking data or affordability modeling
- Familiarity with building dashboards for model monitoring, ideally with tools like Databricks
- Experience with monitoring and observability tools such as Datadog
- Background in underwriting, credit risk, or fraud detection use cases
Please include a CV in English.
Curious to learn more about Klarna and what it's like to work here? Explore our career site!
Senior/Lead Data Scientist - Open Banking employer: Klarna
Klarna is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about fintech and machine learning. With a focus on employee growth, you will have access to cutting-edge projects and the opportunity to make a tangible impact within a collaborative team environment. Located in a vibrant tech hub, Klarna offers unique advantages such as flexible working arrangements and a commitment to professional development.
