Responsible for large strategic clients, covering end-to-end monitoring;
Monitor efficiency metrics for risk indicators and integrated data;
Create anti-fraud rules through investigation, data mining, and handling large volumes of data;
Ensure clients' decision efficiency by maximizing approvals and minimizing chargebacks.

Solid experience in data analysis;
Proficiency with programming tools (SQL and Python) and Power BI;
Good knowledge of business rules;
Strong Excel skills;
Experience working in a fraud ecosystem and statistical skills are considered a plus.

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Business Analytics Analyst – Mid-level

Key skills