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 Robust 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
📌 Data Analyst - Fraud (India)
🏢 Proclink
📍 India
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