Our Client: Klarna
Location: Warsaw (hybrid work: 2-3 days a week from office)
Rate: 170 - 195 PLN per hour
Cooperation model: B2B or Employment Contract
Start date: ASAP
Recruitment process: 1 timed Abstract and Logical Reasoning Test (up to 15 minutes); 1 short interview (up to 30 minutes)
Do you want to play a key role in revolutionizing the future of finance? Join Klarna - a global leader in deferred payments, with over 85 million active users and 2.5 million transactions processed daily! As a pioneer in modern payment solutions, Klarna is developing innovative methods that streamline the shopping experience, enhance transaction security, and expand the availability of purchasing options.
We're seeking individuals eager to achieve remarkable results and share their bold vision to redefine the future of payments and fintech. Send us your CV - we can’t wait to meet you!
Your role is:
- > to develop advanced credit risk models for Client's main product, focusing on card origination and limit management to ensure continued success across global markets;
- > to enhance underwriting processes and the customer experience by leveraging cutting-edge machine learning techniques;
- > to develop, deploy, and maintain state-of-the-art predictive models, creating robust end-to-end data pipelines within Clients’s cloud environments;
- > to collaborate with a diverse team of experts from around the globe, bringing your unique perspective to the table and learning from others.
Your skills and experiences:
- > +8 years of experience as a Data Scientist or similar;
- > Experienced in credit or fraud risk, portfolio management, banking, finance, model validation, or product analytics;
- > Strong business acumen and product-oriented thinking;
- > Strong communication skills, with the ability to explain technical topics to audiences with varying levels of understanding and collaborate effectively with underwriters and data science colleagues on shared challenges;
- > An academic background in a highly technical, numerate subject (e.g., Mathematics, Physics, Engineering, or Economics);
- > Experience developing classification models with machine learning techniques;
- > Proficiency in Python, SQL, and Git, with an understanding of the concepts behind cloud computing technologies;
- > A deep understanding of the theoretical foundations behind classical and modern machine learning models and algorithms, such as generalized linear models, random forests, ensemble methods, and deep neural networks).
Our client offers:
+ Great opportunity for personal development in a stable and friendly large multinational company;
+ Start-up mentality, small agile teams;
+ Global Reach: Impact millions with seamless shopping and payments;
+ Career growth and additional education.