Straive
Fraud and Risk Analyst
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
21 September 2026
What they need
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 fraud related 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:
- 1–3 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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