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
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