Fraud Analyst

Company Description

Acclime is hiring on behalf of a global leader in wellness technology and recovery solutions,

Location

Bangalore, Hyderabad, Ahmedabad, or Gurugram

Role Description

This is a full-time on-site role for an E-commerce Fraud Analyst. The E-commerce Fraud Analyst will be responsible for detecting, analysing, and preventing fraudulent activity across e-commerce platforms. The role involves leveraging advanced data analysis, behavioural monitoring, and open-source intelligence, including dark web monitoring, to identify both fraudulent and false-positive transactions. This position requires expertise in payment fraud schemes and e-commerce risk signals, with a strong balance between fraud prevention and revenue protection. The analyst will monitor real-time transactions, investigate escalated fraud cases, manage chargebacks, and provide threat intelligence to leadership and operational teams.

Qualifications

• 7-10 years of experience in e-commerce fraud prevention, payments risk, or investigative roles
• Deep familiarity with payment fraud schemes and the chargeback lifecycle
• Experience in monitoring and deriving intelligence from open sources and underground forums (OSINT/dark web monitoring)
• Proficiency with fraud platforms (Signifyd, Riskified, Sift, Forter, Kount), analytics tools, and payment gateways (Stripe, Adyen, Braintree)
• Strong analytical skills and experience with data tools (Excel, SQL, BI tools)
• Excellent investigative, written, and verbal communication skills
• High ethical standards and experience working with legal/compliance teams on intelligence handling
• Experience in a high-volume DTC ecommerce environment (preferred)
• Familiarity with threat intelligence platforms and dark web monitoring tools such as Recorded Future, Flashpoint, DomainTools, RiskIQ (preferred)
• Background in cybersecurity, fraud investigations, or law enforcement/intelligence (preferred)
• Knowledge of PCI-DSS, GDPR, and data privacy considerations (preferred)

Skill Set

• Real-time transaction monitoring and fraud detection
• Customer behaviour pattern analysis, including payment methods, device fingerprints, and geolocation data
• Fraud detection tools and manual review techniques
• Rule set and alert development within fraud detection platforms
• Dark web and underground forum monitoring for threat intelligence
• OSINT translation into actionable intelligence
• Chargeback and dispute management across payment processors and card networks
• Root cause analysis for chargebacks
• Fraud pattern identification, including account takeover (ATO), triangulation, card testing, synthetic identities, and bot attacks
• Mitigation strategy recommendation and implementation
• Fraud tool performance evaluation
• False decline minimisation and revenue recovery
• Threat brief preparation and presentation
• Cross-functional collaboration with e-commerce operations, finance, customer service, and payment providers

Job Ref: TB-112025-003