Credit Risk Analyst
Pubblicato il 17-08-2026 - Altro in Roma
At Scalapay, we're shaping a culture with high standards, independent and critical thought, innovation, ownership, and continuous learning . We operate in a fast-moving, tech-driven environment , and we're looking for people who thrive in change, think boldly, and take initiative . If you're ready to put your potential to the test in a hiring process designed to spotlight exceptional talent, this is your chance to stand out and grow with one of Europe's most ambitious fintech teams .
We are looking for a motivated and curious Credit Risk Analyst to join our Credit Risk team and help protect Scalapay, its customers and merchants from credit risk. In this role, you'll play a key part in monitoring and improving the quality of our credit portfolio, identifying risk patterns, and contributing to strategies that reduce credit losses while maintaining a seamless customer experience. You'll work closely with Data Scientists, Product Managers, Engineers, and Fraud specialists, with real exposure to decision‐making and measurable impact on the product.
Monitor and analyze the credit portfolio through data‐driven studies, statistical analyses, and reporting .
Track portfolio performance and trends across customers and merchants , contributing to forecasting and risk insights.
Oversee and enhance application processing and credit scoring processes , monitored internally at high frequency and developed in collaboration with specialized external providers.
Leverage Credit Bureau (SIC) data and indicators to support credit decisions and portfolio monitoring.
Collaborate with the Fraud Management team to detect and prevent emerging fraud patterns and anomalies across the credit lifecycle.
Contribute to the evolution of credit risk strategies in a fast‐growing BNPL environment.
A bachelor's degree in Mathematics, Statistics, Economics , or a related quantitative field.
Hands‐on experience with credit scoring models, tools, and methodologies .
Strong proficiency in SQL for data extr