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Tier-1 employer, metro location, broad analytics skillset increases candidate competition.
Deep banking operations, regulatory and domain knowledge limit cross-industry transferability.
Explicit 8+ years plus banking domain and mandatory analytics/ML skills enforce strict filtering.
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Design and deliver advanced analytical solutions that improve operational efficiency, reduce costs, and enhance customer experience.
Lead deep-dive analyses, predictive modeling, and dashboard/KPI framework development to provide actionable insights for operations teams and senior leadership.
Drive AI/ML use cases including risk scoring and anomaly detection, manage projects end-to-end, and influence business decisions across geographies and functions.
8+ years of relevant analytics or business performance experience with a Bachelor's degree, or 5-8 years with a Master's degree.
Strong proficiency in SQL, Python, PySpark, or SAS with experience on enterprise data platforms (DWH, EAP, SQL Server, Oracle).
Demonstrated application of AI/ML methodologies to operational or business problems.
Deep knowledge of banking domain including banking products, operations, and financial services.
Experienced analytics professional capable of working autonomously and influencing decisions at senior leadership levels.
Proven ability to translate complex data into clear, persuasive insights tailored for executive audiences and cross-functional stakeholders.
Skilled in managing multiple projects simultaneously with disciplined governance and strong stakeholder management across business, technology, and risk functions.