Job Description

eToro is the trading and investing platform that empowers users to invest, share, and learn. We were founded in 2007 with the vision of a world where everyone can trade and invest simply and transparently. We have created an investment platform that is built around collaboration and investor education. On our platform, users can view other investors’ portfolios and statistics, and interact with them to exchange ideas, discuss strategies, and benefit from shared knowledge. We have 40 million registered users from 75 countries, and our platform is available in 20 languages. eToro is an innovative, fast-growing business and is listed on Nasdaq in May 2025. We have over 1,500 employees across more than 10 offices around the globe, strategically positioned to serve the needs of users. You can find out more about eToro here

We are constantly growing and are excited to share that we are looking for a Financial Crime Operations Specialist to join our team!

This role is ideal for someone who is analytical, detail-oriented, comfortable reviewing complex customer activity, and interested in using AI, automation, and technology to improve day-to-day investigative work.

What will you be doing?

• Monitor and analyze customer transactions and account activity to identify unusual or suspicious behavior
• Investigate alerts generated by transaction monitoring and fraud detection systems
• Assess customer activity against their profile, expected behavior, occupation/business activity, geographic exposure, payment methods, and transaction history.
• Conduct Source of Funds (SOF) and Source of Wealth (SOW) reviews, assessing supporting documents and determining whether the information provided is reasonable and consistent with the customer's activity
• Identify potential indicators of money laundering, fraud, account misuse, mule activity, third-party funding, structuring, layering, and other financial crime risks
• Perform holistic customer reviews using available KYC/CDD information, transaction history, previous alerts, supporting documentation, and other relevant information
• Decide whether cases can be closed or require further investigation or escalation, applying a clear risk-based approach
• Document investigations, findings, decisions, and rationale clearly and accurately
• Escalate suspicious or high-risk activity to the relevant AML, Fraud, Compliance, or Financial Crime teams
• Support the preparation of detailed investigation summaries and supporting evidence for escalated cases
• Work closely with other teams, including AML, Fraud, Compliance, Payments, Risk, and Customer Support
• Identify emerging fraud and AML patterns, trends, and typologies and share relevant findings with the wider team
• Provide feedback on monitoring rules, alerts, thresholds, and processes to help improve detection of quality and efficiency
• Use approved AI, automation, and analytical tools to support transaction analysis, information gathering, case summarization, pattern identification, and investigation workflows
• Critically review and validate AI-generated outputs, ensuring that final decisions are always supported by appropriate human judgment
• Identify opportunities to automate repetitive tasks and improve the efficiency and quality of the team's day-to-day work
• Maintain accurate, complete, and audit-ready case records

Requirements

• Previous experience in Transaction Monitoring, AML, Fraud, Financial Crime, Compliance, or Risk, preferably within financial services, fintech, payments, forex.
• Good understanding of AML/CTF, fraud risks, KYC/CDD, transaction monitoring, and financial crime typologies
• Knowledge or experience in reviewing Source of Funds and Source of Wealth information and supporting documentation
• Strong analytical and investigative skills with the ability to identify patterns, inconsistencies, and risk indicators
• Ability to assess information objectively and make clear, well-reasoned decisions
• Strong attention to detail and a high standard of case documentation
• Good written and verbal communication skills
• Confidence working with 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 and operational efficiency
• Ability to work independently, manage multiple cases, and meet deadlines in a fast-paced environment
• A proactive and curious mindset, with a willingness to challenge existing processes and suggest improvements