is Hiring Fraud Analyst

7 hours ago

Chennai, Tamil Nadu, India Straive Full time ₹ 9,00,000 - ₹ 12,00,000 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:

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

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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