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Tier-1 brand, metro location, and broad analytics skillset create medium applicant competition.
Core analytics skills transferable, but fincrime/KYC domain expertise increases industry specificity.
Required SQL, BI, Python, and platform experience raise screening standards without explicit years.
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Lead design and execution of multi-region, scalable analytics systems focused on customer identification and financial crime risk mitigation.
Partner across Product, Engineering, Operations, and Compliance to improve control effectiveness, customer experience, and operational efficiency within onboarding KYC processes.
Build and maintain data products including source-of-truth datasets, dashboards, and self-serve data assets to measure onboarding funnel performance, manual reviews, and operational metrics.
Strong SQL skills with experience in building robust data pipelines.
Proficiency with BI tools and dashboard design for decision-making.
Experience using Python for in-depth analysis and automation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing scalable data models integrated with backend data infrastructure.
Capable of balancing and communicating trade-offs between risk, user friction, and operational cost in risk-based decision contexts.
Experienced working cross-functionally in platform-oriented teams involving product, engineering, operations, and compliance domains.