AML Agent (FinCrime Operations)

About the role

eToro is looking for an AML Agent within its FinCrime Operations team, based in Limassol, Cyprus, with an in-office and hybrid setup; remote work is not possible. The role suits someone who is analytical and detail-oriented, comfortable reviewing complex customer activity, and interested in using AI, automation and technology to improve day-to-day investigative work.

Key responsibilities

• Monitor and analyse customer transactions and account activity to spot unusual or suspicious behaviour.
• Investigate alerts from transaction monitoring and fraud detection systems, assessing activity against the customer's profile, expected behaviour, occupation, geography, payment methods and transaction history.
• Conduct Source of Funds (SOF) and Source of Wealth (SOW) reviews, checking that supporting documents are reasonable and consistent with the customer's activity.
• Identify indicators of money laundering, fraud, account misuse, mule activity, third-party funding, structuring and layering.
• Carry out holistic customer reviews using KYC/CDD information, transaction history, previous alerts and supporting documentation, then decide whether a case can be closed or needs further investigation or escalation.
• Document investigations, findings, decisions and rationale clearly, and escalate high-risk activity to AML, Fraud, Compliance or Financial Crime teams.
• Help prepare investigation summaries and evidence for escalated cases, and share emerging fraud and AML patterns with the wider team.
• Give feedback on monitoring rules, alerts, thresholds and processes, and use approved AI, automation and analytical tools to support analysis and case summarisation.
• Identify opportunities to automate repetitive tasks and improve the team's efficiency.

Required profile

• Strong analytical and investigative skills, able to spot patterns, inconsistencies and risk indicators.
• Objective assessment of information and clear, well-reasoned decisions.
• Strong attention to detail and high-quality case documentation.
• Good written and verbal communication skills.
• Proactive, curious and willing to challenge existing processes.

Required skills

• Comfortable learning new tools from scratch, including transaction monitoring systems, case management tools, Excel and other analytical platforms.
• Good AI and digital literacy, with an interest in using technology to improve investigative work.