Business Objective

To protect the business from fraud and financial losses by developing and optimizing data-driven fraud prevention strategies, while balancing risk mitigation with customer experience, operational efficiency, and business growth.

Monitor customer accounts and transactionsto identify suspicious orfraudulent activity using advanced tools and techniques.
Lead investigations of complex or high-risk cases and prepare detailed reports with findings and recommendations.
Analyze large datasets to detect trends, anomalies, and emerging fraud patterns.
Review and validate work completed by junior specialists to ensure accuracy and compliance.
Act as an escalation point for challenging cases and support resolution of critical issues.
Coordinate with cross-functional teams(Risk, Compliance, Customer Support, Payments)to ensure proper handling of cases.
Maintain detailed and accurate documentation of all investigations, actions, and outcomes.
Contribute to the development and enhancement of fraud prevention strategies and controls.
Identify process gaps and recommend improvements to increase efficiency and reduce risk.
Support system enhancements, testing, and implementation of new financial tools or processes.
Stay up to date with the latest fraud trends, financial regulations, and industry best practices.
Provide guidance, coaching, and knowledge sharing to junior team members.

Qualifications

Bachelor's degree in Finance, Accounting,
Business Administration, or a related field.
2–4 years of experience in financial operations, fraud analysis, or a similar role.
Experience working with financial systems and transaction monitoring tools.
Strong analytical skills with the ability to interpret complex financial data.
Advanced problem-solving and critical thinking abilities.
High attention to detail and accuracy.
Strong organizational and time management skills.
Ability to handle multiple priorities and work under pressure.
Effective communication and collaboration skills.
Ability to mentor and support junior team members.
Proficiency in financial systems, Excel, and data analysis tools.
Strong understanding of fraud detection techniques and financial controls.

Top 3 KPIs for Success

Fraud Loss Reduction
Fraud Detection Effectiveness
False Positive Optimization

Senior Fraud Analyst