Senior Risk Data Scientist — Credit & Fraud Analytics

Scalapay S.R.L.; Lombardia; On-site; EUR 45,000 - 50,000; Full time

Benefits offered by this job

International environment

Career growth opportunities

Competitive salary

Job summary

Scalapay S.R.L. is seeking a Risk Data Scientist to own design, implementation and oversight of credit and fraud models. You’ll partner with cross-functional teams to align product and risk strategy, monitor performance, and deliver actionable insights to drive decisions.

Strong analytics and communication skills are required; English fluency is essential, with a fintech focus. Join a fast-moving, tech-driven environment that values innovation, ownership, and continuous learning, and contribute

Qualifications

• Master’s degree in Finance, Economics, Statistics, Data Science or related field.
• Strong proficiency in SQL, Python and R for data analysis and modeling.
• Experience with AI in analytical/modeling contexts.
• Proven track record in credit risk and fraud modeling is a plus.

Responsibilities

• Develop, implement, and maintain Credit Risk and Fraud models across BNPL and Lending portfolios.
• Build dashboards and BI reporting to monitor risk and performance.
• Collaborate with Finance, Payments, and Product Risk to provide data-driven insights.
• Ensure regulatory and management reporting requirements are met with accuracy.

Skills

SQL

Python

R

AI

Education

Master’s degree in Finance, Economics, Statistics, Data Science

Job description

Scalapay S.R.L. is seeking a Risk Data Scientist to own design, implementation and oversight of credit and fraud models. You’ll partner with cross-functional teams to align product and risk strategy, monitor performance, and deliver actionable insights to drive decisions.

Strong analytics and communication skills are required; English fluency is essential, with a fintech focus. Join a fast-moving, tech-driven environment that values innovation, ownership, and continuous learning, and contribute