Data Scientist
Pubblicato il 22-09-2026 - Scalapay in Milano
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 .
As a Risk Data Scientist , you will own the design, implementation, and oversight of credit & fraud model and reporting . This is a high-impact role where you will collaborate with cross-functional teams to align on product and risk strategy changes to understand impact on loss performance and approval rates.
This role will ensure accurate projections of portfolio performance, early detection of risk trends, and actionable insights to drive business decisions .
Develop, implement, and maintain Credit Risk & Fraud models across the BNPL & Lending portfolio.
Build analytical tools and produce analysis to find Risk & Losses drivers.
Build scalable BI dashboards
Business Intelligence & Reporting
Own the design, automation, and delivery of Risk models & BI reporting for leadership and stakeholders.
Partner with cross functional areas like Finance, payments, product risk to provide data-driven insights into credit losses, profitability, and risk-adjusted returns.
Cross-Functional Collaboration
Work closely with credit risk, data science, finance, and product teams to align loss assumptions with pricing, provisioning, and strategic planning.
Ensure data integrity, consistency, and strong governance across risk reporting processes.
Provide scenario analyses and stress testing to anticipate potential risks under different macroeconomic environments.
Holder of a Master’s degree in Finance, Economics, Statistics, Data Science , or related field. Advanced degree preferred.
~4+ years in risk managem