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Tier-1 employer, mid-level generalist analytics role, Bangalore metro, broad SAS/SQL/Python skills increase candidate competition.
Analytics skills transferable, but fraud banking domain adds moderate industry bias.
Mandatory 3+ years experience and required SAS/SQL skills make shortlisting relatively strict.
Manage and execute fraud analytics and strategies supporting North American Retail Bank business.
Own and manage fraud rules, scores, detection strategies, and regularly identify emerging fraud trends through data analysis.
Collaborate with cross-functional teams and senior stakeholders to implement fraud mitigation strategies and generate analytics reports and dashboards.
Bachelor’s degree in Statistics, Economics, Finance, Mathematics or related quantitative field; Engineering / MBA from premier institute also acceptable.
Minimum 3+ years of hands-on analytical experience including 3+ years in statistical analysis.
Mandatory working knowledge of SAS and SQL; experience with R or Python is desired.
Experience in fraud strategy/processes or fraud analytics is desired but not mandatory.
Experienced in fast-paced environments with strong analytical and problem-solving skills related to fraud analytics.
Ability to manage stakeholder relationships and communicate effectively with senior leaders and cross-functional teams.
Skilled in data visualization tools such as Tableau and advanced analytics for fraud trend identification and strategic recommendations.