Role Summary
Payoneer is looking for a proactive detail-oriented and data-driven Card Transactions Monitoring Analyst to join our Fraud & Compliance Operations team. This role is ideal for someone who combines strong analytical and investigative skills with hands-on data capabilities.
You will be responsible for monitoring debit card transactions (physical and virtual) to detect fraud assess AML risks and support internal investigations. The role sits within the second line of defense offering both strategic oversight and operational depth. Youll be expected to work with complex datasets identify patterns draw data-driven conclusions based on user behavior and clearly communicate your findings to stakeholders.
Youll collaborate with cross-functional teams to manage alerts analyze fraud and AML patterns and ensure compliance with regulatory requirements in a dynamic global environment. If youre experienced in compliance and fraud detection have a background in data analysis and enjoy driving operational excellence this role is for you.
What Youll Do
- Monitor and analyze debit card transactions (virtual and physical) to detect suspicious or fraudulent activity.
- Investigate fraud alerts and reports (e.g. chargebacks card misuse customer claims).
- Conduct research and provide data-driven analytical/risk insights using large datasets.
- Support AML-related investigations tied to card activity and customer behavior.
- Conduct enhanced due diligence (EDD) for card limit increase requests.
- Evaluate system-generated alerts and determine next steps based on data and risk indicators.
- Leverage data tools (SQL Excel BI tools) to identify trends and improve detection mechanisms.
- Optimize transaction monitoring processes and tools based on analytics and feedback.
- Ensure compliance with internal controls and regulatory frameworks.
- Prepare reports dashboards and summaries of fraud cases trends and escalations.
- Collaborate with global teams across Risk Data Compliance and Operations functions.
Who You Are
- 2 years of experience in Risk Compliance Fraud Operations or related analytical roles.
- Proven experience with data analysis and using data to identify behavioral trends and anomalies.
- Proficiency in SQL able to extract and analyze large datasets independently.
- Strong command of Excel; familiarity with BI tools (e.g. Looker Power BI) is a plus.
- Sharp investigative mindset and strong analytical thinking.
- Strong communication skills in English both written and verbal.
- Bachelors degree in a relevant field.
- Highly motivated adaptable and able to work in a fast-paced environment.
- Excellent attention to detail while maintaining a broad risk perspective.
- Team player with strong cross-functional collaboration skills.
Nice to Have
- Experience with open-source intelligence (OSINT) investigations.
- Hands-on experience with AML transaction monitoring platforms.
- Prior experience in a fintech or global financial institution.
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Required Experience:
IC