Fraud Analyst

Switch-Now Consulting; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Switch-Now Consulting seeks an experienced professional to lead diagnostic and transformation initiatives within the fraud space in Gurugram, India. The ideal candidate has over 6 years of relevant experience in fraud analytics, strategy, or risk management across Banking or Fintech. Key responsibilities include driving transformation programs utilizing analytics and automation, supporting client pursuits, conducting research and developing knowledge assets, all while collaborating with various teams. A graduate or postgraduate degree in relevant fields is required, along with excellent communication skills.

Qualifications

• 6+ years of experience in fraud analytics, strategy, or risk management in Banking, Fintech, or Payments.
• Ability to lead multi-dimensional transformation integrating analytics, digital, operations, and advisory.
• Deep understanding of the fraud lifecycle including application, transaction, merchant, and chargeback management.
• Experience with fraud platforms and rules strategy configuration.
• Exposure to operational excellence and continuous improvement frameworks.
• Strong consulting skills with ability to influence senior stakeholders.
• High energy, intellectual curiosity, and self-driven mindset.
• High energy and intellectual curiosity.

Responsibilities

• Lead short-cycle diagnostic and transformation initiatives across the fraud value chain.
• Support sales and client pursuits by leading solution design and RFP/RFI responses.
• Drive end-to-end transformation programs leveraging analytics and automation.
• Conduct research and benchmarking on emerging fraud typologies and best practices.
• Develop knowledge assets to strengthen the fraud offering.
• Collaborate with teams to enhance solution maturity.
• Identify performance bottlenecks and enable data-driven interventions.
• Build domain and analytics capability through training programs.

Skills

Fraud analytics

Strategy

Risk Management

Client engagement

Consulting skills

Communication

Presentation

Storytelling

Education

Graduate or Postgraduate in Statistics, Economics, Finance, or MBA

MBA with relevant domain experience

Tools

AI/ML-driven fraud platforms

Decision orchestration tools

Job description

• 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.