Risk Data Scientist

17 ott - Bardi
Scalapay

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
.
MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer.
THE MISSION:
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
.
WHAT YOU WILL DO:




Risk Modelling & Portfolio Analytics
Develop, implement, and maintain Credit Risk & Fraud models across the BNPL & Lending portfolio.
Build analytical tools and produce analysis to find Risk & Losses drivers.
Monitor approval rates, fraud & credit performance and recovery trends.
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.
Ensure regulatory and management reporting requirements are met with high accuracy.
Cross-Functional Collaboration
Work closely with credit risk, data science, finance, and product teams to align loss assumptions with pricing, provisioning, and strategic planning.
Communicate findings and recommendations to senior leadership and external stak

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