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Tier-1 bank, metro location, and mid-level analytics role create high candidate competition.
Role demands domain-specific fraud, compliance, and product knowledge, reducing cross-industry transferability.
Explicit degree-plus-years requirement and mandatory analytics/technical skills enforce strict shortlisting.
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Design and validate fraud strategies and processes to balance fraud mitigation, financial performance, customer experience, and operational efficiency.
Develop dashboards and data pipelines for fraud trend monitoring and analytics.
Collaborate with Product, Technology, Operations, and risk teams to implement fraud detection capabilities ensuring compliance and control frameworks.
MS degree with 3+ years or BS degree with 4+ years experience in risk management or data analytics.
Strong data analysis and technical skills including Python, SQL, Looker, Github, Excel.
Experience working cross-functionally with internal teams and external partners.
Work Experience Required: 3+ years (MS degree) or 4+ years (BS degree).
Experience in fraud risk strategy or fraud analytics preferred.
Ability to think strategically with experience setting visions, developing roadmaps, and executing solutions that balance multiple business priorities.
Strong project and process management skills to drive capability development in a collaborative environment.