Key Responsibilities:
- Lead the fraud analytics strategy across banking verticals - Liabilities (Mule), Payments, and Asset Products (Cards, Loans).
- Develop and implement fraud detection models using ML/AI techniques for real-time and post-event analysis.
- Design and monitor key fraud risk indicators (KRIs) across customer onboarding, transaction monitoring, and customer lifecycle management.
- Drive end-to-end analytics on fraud typologies - Mule accounts, Transactional frauds, Account takeovers, Application & Identity frauds, Scams, etc.
- Collaborate with Business, Risk, Operations, Technology, and Compliance to proactively mitigate fraud risks.
- Lead regulatory interactions and reporting with respect to fraud analytics and compliance requirements.
- Engage with external stakeholders such as technology vendors, fraud consortiums, and industry forums.
- Build and mentor a high-performing fraud analytics team and foster a culture of data-driven risk mitigation.
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