Global Fraud Analyst
3 weeks ago
We're VertoFX, a leading cross-border payments firm, and we're on a mission to change the way businesses in Emerging Markets reach the world. Our platform has revolutionized the way thousands of companies transfer money in and out of these markets, and we're now seeking a talented Fraud Analyst to join our team.
About the RoleThis is a unique opportunity to work with a market-leading platform that's changing the face of international payments. As a Fraud Analyst, you'll play a critical role in enhancing our fraud detection mechanisms and reducing fraud-related losses. You'll work closely with our Fraud and Risk Management team to drive measurable impact and safeguard our payment operations.
Your Key Responsibilities- Fraud Detection and Prevention: Develop and implement advanced fraud detection strategies across card and payment processes to reduce fraud incidents within your first year.
- Transaction Analysis: Proactively monitor and analyze transaction data to identify suspicious patterns, trends, and anomalies that signal potential fraudulent activities.
- Collaboration and Communication: Work closely with internal teams to optimise fraud prevention systems and response protocols, and provide insights and actionable recommendations based on data analysis to mitigate fraud risks while improving the customer experience.
- Investigations and Reporting: Lead investigations into payment fraud cases, working closely with law enforcement and external partners when necessary, and prepare comprehensive reports for senior management on payment performance, chargebacks, and fraud detection.
- Experience: 2-3 years of experience as a Fraud Analyst / Associate, with a focus on cards and payment processes.
- Expertise: Proven experience in chargeback management, preferably within a UK cross-border payments firm or a similar financial services environment, and hands-on experience with Visa and Mastercard fraud prevention systems.
- Skills: Strong analytical skills, with experience in data analysis, fraud detection, and identifying trends, and proficiency in fraud detection tools, data analysis, and payment monitoring systems.
- Education: A degree in a relevant field, such as finance, business, or computer science.
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