Investigate fraud attacks, quantify their impact, and present findings
Propose and refine rule-based mitigations with fraud ops and engineering
Build and maintain dashboards to monitor fraud trends and metrics
Collaborate with fraud ops, data scientists, engineers, and PMs to translate insights into action
Identify emerging patterns and flag risks early

🎯 Requirements

4+ years as a Data Analyst in fraud/risk or related: strong track record
Advanced SQL; write complex queries across large datasets
Experience in fraud, risk, or financial services
Proactive mindset and curiosity; self-driven
Some Python or scripting for data manipulation
BI tool proficiency (PowerBI, Looker, Tableau, Superset, etc.)

🎁 Benefits

Autonomy in a flat structure with outsized impact
Learning & development focus with internal talks
Competitive compensation, pension, health insurance, bonus

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