Fraud Data Analyst

As a Fraud Data Analyst, you will be a key advisor to major clients in the financial services and e-commerce sectors, helping them implement and optimize fraud prevention solutions. You'll leverage advanced data analytics to identify fraud patterns, develop detection strategies, and provide actionable recommendations to protect customers and minimize risk. This role offers a unique blend of technical analysis, client consultation, and fraud investigation.

• Analyze large datasets to build and optimize fraud detection rules and models
• Investigate suspicious activity and complex fraud cases to identify emerging risks
• Develop and present data-driven recommendations to clients
• Advise clients on best practices for fraud and identity solutions
• 3+ years of experience in advanced analytics using Python or R
• Strong proficiency in SQL and Excel for data analysis