Analytics Analyst

About the RoleWe are seeking an experienced Analytics Analyst – Fraud & AML to support fraud detection, Anti-Money Laundering (AML) monitoring, transaction analytics, and fraud prevention initiatives within the financial services/payments environment.The ideal candidate will have hands-on experience with fraud and AML analytics, transaction monitoring, rule development, anomaly detection, and fraud monitoring platforms. Experience with DataVisor, Navera, or similar fraud/AML monitoring solutions is highly desirable.Key ResponsibilitiesConfigure, maintain, and optimize AML and fraud monitoring systems.Design, develop, test, and optimize fraud detection and AML monitoring rules.Analyze transaction data to identify fraud patterns, trends, anomalies, and emerging risks.Develop fraud pattern identification models and monitoring processes.Support DataVisor fraud monitoring design, configuration, and integration activities.Investigate suspicious transaction patterns and emerging fraud typologies.Develop analytical reports, dashboards, and management insights.Monitor fraud detection performance and recommend improvements to existing rules and controls.Collaborate with fraud, AML, data, technology, and business stakeholders.Translate analytical findings into actionable fraud prevention and risk management recommendations.Required Skills & ExperienceHands-on experience in Fraud Analytics and/or AML Analytics.Experience developing and optimizing fraud/AML detection rules.Strong SQL skills and experience analyzing large transaction datasets.Experience with fraud monitoring, transaction monitoring, or AML systems.Experience with DataVisor, Navera, or similar fraud monitoring platforms.Strong analytical, problem-solving, and pattern-recognition skills.Experience developing reports, dashboards, and management-level insights.Understanding of fraud typologies, transaction monitoring, anomalies, and risk indicators.Nice to HaveExperience with Power BI, Tableau, or similar BI tools.Experience with machine learning-based fraud detection.Experience in banking, financial services, fintech, payments, or credit card environments.Knowledge of AML transaction monitoring and suspicious activity detection.Experience working with large-scale transactional/payment datasets.