Head - Fraud Analytics

Responsibilities:

• Design and own Anaira.ai 's fraud strategy, building frameworks that combine AI models, rules engines, and behavioural intelligence.
• Bring a cross-industry perspective, leveraging learnings from payments, e-commerce, ride-hailing, and fintech to strengthen insurance fraud detection.
• Architect the data ecosystem: identify internal and external data sources that power real-time fraud intelligence.
• Translate insights into impact: operationalise models and dashboards that drive measurable fraud reduction outcomes.
• Build and lead the team of mentor analysts and data scientists, establish processes, and scale the function.
• Collaborate with leadership and clients to influence product direction, partner with insurers, and deliver data-backed risk intelligence.

Requirements:

• 8+ years in fraud analytics/risk intelligence/data science, with 3+ years in strategic or leadership roles.
• Strong experience in designing and operationalising fraud frameworks in insurance, fintech, payments, or e-commerce.
• Deep understanding of fraud typologies, anomaly detection, and network-based models.
• Hands-on familiarity with SQL, Python, and visualisation tools (Tableau, Power BI, Looker).
• Strategic thinker + doer able to move from framework design to model implementation seamlessly.
• Excellent stakeholder communication and ability to work across CXO, product, and engineering functions.