Transaction Risk Executive – E-commerce (L1) (2 to 5 Years)
Experience : 2 to 5 Years
Location : Remote
Mode of Engagement : Full-time
No of Positions : 3
Educational Qualification : Any Degree / Engineering
Industry : E-commerce
Work Time : IST / CET
What We Are Looking For :
- 2–5 years of hands-on experience in eCommerce fraud or risk operations , preferably involving L1 manual reviews , BNPL , or B2B environments.
- Strong investigative and analytical skills with the ability to apply structured playbooks and exercise sound judgment in decision-making.
- Excellent written communication and documentation abilities for preparing clear decision notes, audit records, and stakeholder updates.
- Proficiency in Excel / Google Sheets (filters, pivots, lookups, basic formulas) and strong attention to detail to ensure accuracy and consistency within defined SLAs and quality targets .
Responsibilities :
Review transactions flagged as potentially high-risk using SOPs and multiple fraud indicators (payment, device / IP, geo, velocity, and account behavior).Conduct identity validation and OSINT checks to confirm authenticity of customers and transaction details.Take clear and defensible approve, decline, or escalate decisions while maintaining audit-ready documentation and evidence.Meet turnaround time and accuracy SLAs , ensuring operational consistency across high-volume queues and peak periods.Identify and escalate emerging fraud trends such as ATO, reshipping, promo abuse, or mule activities to the Fraud Strategy (L2) team.Collaborate with Fraud Operations and Strategy teams by sharing structured feedback on rule performance and playbook improvements.Ensure compliance with GDPR and data-handling standards , following secure work and documentation practices.Qualifications :
Bachelor’s degree (any discipline) or equivalent, with exposure to fraud detection, risk analysis, or transaction monitoring .Practical experience or internship in eCommerce fraud / risk operations or transaction review .Familiarity with fraud detection tools and PSPs such as Sift, Forter, Riskified, Signifyd, SEON, Ekata, Stripe, Adyen, or Checkout.com.Understanding device fingerprinting, proxy / VPN indicators, BIN / IIN checks, and chargeback processes .Experience with case / ticketing systems (Zendesk, Jira, ServiceNow) and basic BI / SQL for ad-hoc analysis.Strong analytical, documentation, and communication skills to operate effectively in a remote, SLA-driven environment.