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Tier-1 brand, metro Bangalore location, broad analytics skillset, and common analytics title increase competition.
Requires deep banking operations knowledge, making cross-industry fit limited despite transferable analytics skills.
Mandatory 10+ years, banking domain knowledge, and specific SQL/Python/PySpark/ML skills raise shortlisting strictness.
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Design, develop, and implement advanced analytical solutions for operational improvement in USPB Ops functions like Customer Service, Core Ops, Credit, and Collections.
Conduct deep-dive analysis, develop predictive models, and create actionable insights to optimize processes, reduce costs, and enhance customer experience.
Provide technical leadership, mentor team members, and manage stakeholder relationships to ensure successful delivery of analytics projects from inception to completion.
At least 8+ years experience with a Master’s degree or 10+ years with a Bachelor’s degree in a relevant domain.
Proficiency in SQL, SAS, Python, PySpark and knowledge of database management systems like DWH, EAP, SQL Server, Oracle.
Experience in data science, AI/ML use cases and applications within banking domain operations.
Work Experience Required: Minimum 8+ years (Master’s) or 10+ years (Bachelor’s) explicitly mentioned.
Experienced in applying advanced analytics and predictive modeling specifically in banking operations to drive measurable operational improvements.
Strong stakeholder management skills with ability to translate complex data insights into business recommendations and lead cross-functional teams.
Proven ability to drive innovation, implement governance and compliance standards, and manage end-to-end analytics projects in a fast-paced environment.