Senior Manager Risk Management Fraud Prevention & Detection

About the role

Lead fraud prevention and detection initiatives for global banking clients, integrating AI, GenAI, and automation to reduce losses and modernize fraud ecosystems. Drive transformation across the fraud value chain, develop roadmaps, support sales, and deliver measurable outcomes in fraud savings and false positive reduction.

What you’ll do

• Lead diagnostic and transformation initiatives across fraud value chain, identifying pain points and quantifying impact.
• Support sales and client pursuits by leading solution design, RFP/RFI responses, and value proposition development.
• Drive end-to-end transformation programs leveraging analytics, AI-first frameworks, and automation to optimize fraud prevention, detection, and claims.
• Conduct research and benchmarking to generate actionable insights on emerging fraud typologies, regulatory shifts, and best practices.
• Develop and evolve knowledge assets including capability decks, frameworks, case studies to strengthen fraud offering.
• Evangelize fraud and disputes solutions by collaborating with delivery, digital, and analytics teams to embed innovation.
• Identify performance bottlenecks and enable data-driven interventions to drive measurable outcomes in fraud savings, false positive reduction, and recovery rates.
• Build domain and analytics capability through structured training programs, certification paths, and knowledge transfer across global delivery teams.

What you’ll bring

• 6-9 years fraud analytics, strategy, or risk management experience.
• Proven ability to lead multi-dimensional transformation integrating analytics, digital, operations, and advisory levers.
• Deep domain understanding across fraud lifecycle, including application, transaction, merchant, and dispute/chargeback management.
• Experience with AI/ML-driven fraud platforms, rules strategy configuration, and decision orchestration tools.
• Strong client engagement and consulting skills, influence senior stakeholders and CXO-level clients.
• Exposure to Operational Excellence and continuous improvement frameworks.
• Excellent communication, presentation, storytelling skills with a data-driven orientation.
• Graduate or Postgraduate in Statistics, Economics, Finance, or MBA with relevant domain experience.

Education

Graduate