Job Description

Job Title: SME - Fraud Analytics

Location: New York City, NY(hybrid)
Duration: Fulltime
Interview: Round 1 interview will be with the hiring manager, and a round 2 face to face (if possible) with a team member.

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

• Minimum 5 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 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.

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