Fraud Analyst

Key Responsibilities

• Lead short-cycle diagnostic and transformation initiatives across the fraud value chain — identifying pain points, quantifying impact opportunities, and developing executable roadmaps.
• Support sales and client pursuits by leading solution design, RFP/RFI responses, and development of differentiated value propositions.
• Drive end-to-end transformation programs leveraging analytics, AI-first frameworks, and automation to optimize fraud prevention, detection, and claims management.
• Conduct research and benchmarking to generate actionable insights on emerging fraud typologies, regulatory shifts, and best-in-class practices.
• Develop and continuously evolve knowledge assets including capability decks, frameworks, case studies etc. to strengthen the fraud offering.
• Evangelize fraud and disputes solutions by collaborating with delivery, digital, and analytics teams to embed innovation and enhance solution maturity.
• 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.

Minimum Qualifications

• 6+ years of experience in Fraud analytics, Strategy, or Risk Management, preferably across Banking, Fintech, or Payments.
• Proven ability to lead multi-dimensional transformation integrating analytics, digital, operations, and advisory levers.
• Deep domain understanding across the 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 with ability to influence senior stakeholders and CXO-level clients.
• Exposure to Operational Excellence and continuous improvement frameworks.
• Excellent communication, presentation, and storytelling skills with a data-driven orientation.
• Graduate or Postgraduate in Statistics, Economics, Finance, or an MBA with relevant domain experience.
• High energy, intellectual curiosity, and self-driven mindset, comfortable operating in fast-evolving, ambiguous environments.