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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