is Hiring Fraud Analyst

5 days ago

Chennai Hyderabad, India Straive Full time US$ 90,000 - US$ 1,20,000 per year

We are seeking a proactive and detail-oriented E-commerce Fraud Analyst Merchant Side to identify, investigate, and mitigate fraudulent activities such as account takeovers and triangulation fraud. The ideal candidate will have hands-on experience using advanced fraud detection tools such as Signifyd, Forter, or similar platforms, and a strong background in card-not-present (CNP) e- commerce environments.

Key Responsibilities:

  • Detect and investigate fraudulent transactions, including account takeovers, triangulation fraud, and other emerging fraud trends in e-commerce.
  • Analyze transaction patterns, customer behavior, and risk signals to identify suspicious activity.
  • Use fraud detection tools like Signifyd, Forter, or similar systems to review flagged transactions and make risk-based decisions.
  • Collaborate with chargeback teams to connect fraud patterns with post-transaction disputes.

Work closely with customer support and payment operations to quickly resolve fraudrelated issues and protect legitimate customer experiences.

  • Assist in configuring fraud rules and fine-tuning scoring logic based on false positives and fraud losses.
  • Document fraud cases, trends, and resolutions for internal reporting and regulatory compliance.
  • Stay updated on e-commerce fraud schemes and industry best practices to proactively adapt fraud prevention strategies.
  • Support incident response during fraud spikes or coordinated attack patterns.
  • Contribute to process improvements and fraud prevention policies based on root cause analysis.

Requirements:

  • 6 years of experience in fraud detection/prevention in an e-commerce merchant-side environment.

  • Proven experience in team handling and people management.

  • Skilled in supervising, mentoring, and guiding team members to achieve goals.
  • Strong understanding of card-not-present (CNP) fraud, including account takeovers and triangulation schemes.
  • Hands-on experience with fraud tools like Signifyd, Forter, Kount, or similar platforms.
  • Analytical mindset with the ability to interpret large volumes of data to identify fraud patterns.
  • Familiarity with payment flows, order life cycles, and customer identity verification practices.
  • Strong decision-making, documentation, and communication skills.
  • Ability to work in a fast-paced environment and meet operational SLAs

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