Data Analyst - Fraud

Qualifications: 2 to 5 years experience in finance, analytics, or related fields Graduate/Postgraduate degree in Engineering or Management Proficient in SAS, SQL, Python (at least one language well) Knowledge of MS Office tools (Excel, PowerPoint, Word) Experience in machine learning / AI algorithms is a plus Strong communication and interpersonal skills Domain expertise in Credit Card risk analytics mandatory Roles and Responsibilities: Develop and implement risk mitigation strategies for banking clients Work closely with clients to research and deliver actionable insights Deliver accurate analyses, dashboards, and reports related to fraud risk Analyze large datasets to derive meaningful business insights Work independently on complex and unstructured problems