At a Glance
- Tasks: Lead the design of real-time credit scoring models and mentor fellow data scientists.
- Company: Join Klarna, a leader in consumer lending innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting challenges.
- Why this job: Make a significant impact on consumer credit scoring with cutting-edge machine learning techniques.
- Qualifications: 5+ years in data science, expertise in Python, SQL, and ML.
The predicted salary is between 60000 - 80000 £ per year.
Klarna is seeking a Lead Data Scientist to enhance their consumer credit scoring and portfolio valuation models. You will work on designing real-time PD models and integrating them into the underwriting framework.
The ideal candidate has over 5 years of experience, particularly in consumer lending. This role involves collaborating with varied teams to translate complex modeling insights into tangible business strategy while also mentoring peers.
Proficiency in Python, SQL, and advanced ML techniques is essential.
Lead Credit Risk Scientist — Real-Time Scoring & ML in London employer: Klarna
Klarna is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in data science will directly impact consumer lending strategies. With a strong emphasis on employee growth, you will have access to mentorship opportunities and cutting-edge projects in a dynamic environment located at the heart of the tech industry. Join us to be part of a forward-thinking team that values creativity and offers competitive benefits, making Klarna a rewarding place to advance your career.
