Fraud Analyst – E-commerce Transactions (L1) (1 to 6 yrs)

1 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Fraud Analyst – E-commerce Transactions (L1) (1 to 6 Years)


Experience

Location

Mode of Engagement

No of Positions

Educational Qualification

Industry

Work Time


What We Are Looking For:


  • 1–3 years of experience or internship exposure in

    eCommerce fraud/risk operations

    ,

    order review

    , or

    transaction monitoring

  • Strong

    analytical and investigative mindset

    with the ability to follow structured playbooks and make accurate decisions within defined frameworks. 
  • Good

    written communication and documentation skills

    for preparing clear review notes and case updates. 
  • Working knowledge of

    Excel/Google Sheets

    (filters, pivots, lookups, and basic formulas) and the ability to meet

    SLAs and quality standards

    in fast-paced review environments. 

 


Responsibilities:


  • Review

    eCommerce transactions

    flagged as high-risk using defined

    SOPs

    and multiple fraud signals such as payment details, IP/device, and account behavior. 
  • Perform basic

    identity verification checks

    (shipping address, email, contact, and payment validation) to confirm customer intent. 
  • Accurately document case notes and take

    approve, decline, or escalate

    decisions following investigation protocols. 
  • Maintain queue health by achieving

    turnaround time, accuracy, and productivity SLAs

    , especially during high-volume periods. 
  • Identify and report

    recurring fraud patterns

    and anomalies (account takeovers, promo abuse, reshipping) to the Fraud Strategy (L2) team. 
  • Adhere to

    data security and privacy standards (GDPR)

    and maintain structured case documentation for audits. 

 


Qualifications:


  • Bachelor’s degree (any discipline) or equivalent. 
  • Prior internship or 1+ years of hands-on experience in

    eCommerce fraud review

    ,

    risk operations

    , or

    customer transaction analysis

  • Basic understanding of

    fraud detection tools

    (e.g., Sift, Forter, Riskified, Signifyd, SEON, Ekata, Stripe, Adyen, Checkout.com). 
  • Familiarity with

    ticketing tools

    like Zendesk, Jira, or ServiceNow. 
  • Strong

    attention to detail, logical reasoning

    , and ability to work effectively in a remote, high-accuracy environment. 

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