Fincrime Analyst (Relocation To Luxembourg)

02 ago - Cusano Milanino
Experteer Italy

Fincrime Analyst (Relocation to Luxembourg)

As Fincrime Analyst, you lead real-time surveillance, detection, and containment of fraudulent activity across our ecosystem. You will handle high-volume alerts, perform advanced escalations, and translate findings into actionable improvements for product and data teams. You’ll own a monitoring focal area, research emerging crime trends, and mentor junior analysts while ensuring strict regulatory compliance. This role blends risk management with hands-on analytics in a fast-growing fintech environment.

- Health insurance for you and family
- Stock Option Plan
- Relocation support
- Unlimited PTO
- Manage and resolve transaction monitoring alerts in real-time with accurate decision-making
- Serve as primary escalation point for complex alerts requiring deep-dive investigations
- Provide feedback to Product/Data teams to refine detection rules and improve effectiveness
- Identify workflow bottlenecks and implement process improvements to reduce false positives
- Mentor and onboard junior analysts,



sharing best practices in transaction analysis
- Maintain compliant, well-documented rationale for every resolved alert
- Own a strategic monitoring focal area and translate global crime trends into production-ready rules
- 3+ years in transaction monitoring, real-time fraud operations, or KYT surveillance in fintech or high-volume payment contexts
- Subject matter expertise in transaction monitoring principles, payment flows, velocity patterns, and regulatory frameworks (FATF, EU Directives, PSD3/SCA)
- Proficiency with data tools and SQL for querying large datasets (Looker, Splunk, HEX, Redshift)
- Experience in identifying gaps in automated detection models and turning them into monitoring scenarios
- Leadership and coaching experience to elevate team capabilities
- Strong analytical communication skills for both technical and non-technical stakeholders
- High attention to detail and ethical judgment in risk incidents

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