15 ott - Milano
Scalapay
ppAt Scalapay, we’re shaping a bculture /b with high standards, independent and critical thought, binnovation, ownership, and continuous learning /b. We operate in a bfast-moving, tech-driven environment /b, and we’re looking for people who bthrive in change, think boldly, and take initiative /b. /p pIf you’re ready to bput your potential to the test /b in a hiring process designed to spotlight exceptional talent, this is your chance to stand out and grow bwith one of Europe’s most ambitious fintech teams /b. /p p#MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer. /p h3THE MISSION: /h3 pAs a bRisk Data Scientist /b, you will bown the /b bdesign, implementation, and oversight of credit fraud model and reporting /b. This is a bhigh-impact role /b where you will collaborate with cross-functional teams to align on bproduct and risk strategy /b changes to understand impact on loss performance and approval rates. /p pThis role will bensure /b baccurate projections of portfolio performance, early detection of risk trends, and actionable insights to drive business decisions /b.
/p h3WHAT YOU WILL DO: /h3 ul liDevelop, implement, and maintain Credit Risk Fraud models across the BNPL Lending portfolio. /li liBuild analytical tools and produce analysis to find Risk Losses drivers. /li liMonitor approval rates, fraud credit performance and recovery trends. /li liBuild scalable BI dashboards /li /ul h3Business Intelligence Reporting /h3 ul liOwn the design, automation, and delivery of Risk models BI reporting for leadership and stakeholders. /li liPartner with cross functional areas like Finance, payments, product risk to provide data-driven insights into credit losses, profitability, and risk-adjusted returns. /li liEnsure regulatory and management reporting requirements are met with high accuracy. /li /ul h3Cross-Functional Collaboration /h3 ul liWork closely with credit risk, data science, finance, and product teams to align loss assumptions with pricing, provisioning,
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