Fraud & Risk Analyst (Based in Kuala Lumpur, Malaysia)Responsibilities:
Focus on appeal cases received from business line; case received from customer with proof document will send through CMS system to team analyst to decide, if possible, to release user from blacklist.
Match all the proof documents details including card number, payment name, payment email, and so on.
Focus on completed transactions flagged with high-risk flag; cases will be sent to analysts for post-manual review to evaluate if it is potential fraud.
Case sources include model, blacklist backtrack, and so on.
Understand the business model of every business line to make accurate risk evaluations; post-manual review focuses on user behavior analysis.
Share fraud trends instantly with the fraud strategy team based on the standard SOP provided.
Document user analysis steps, actions, and results in SOP; SOP will be constantly updated for high accuracy in case checks.
Evaluate risk levels of transactions held for pending review during the transaction time.
Handle customer escalation cases, check rejection reasons, analyze users, and reply with standard responses.
Follow actions stated in SOP for relevant results, including proactive whitelisting, releasing users, and document submission actions.
Strictly follow chargeback operation standard SOP and requirements to handle representment cases; candidates with chargeback handling experience are preferred.
Complete chargeback cases within SLA/pre-set time and ensure all representment documents are gathered correctly.
Protect our ecosystem, prevent fraudulent activity, enforce TOS and policies, ensuring compliance across a global user base of millions.
Minimum Skills to Hire:
Bachelor's Degree in accounting, finance, or relevant fields related to Fraud, Chargeback, and Appeal.
1-3 years of fraud manual review experience, including reviewing user appeal documents, user analysis, and trend analysis.
Able to adapt to a fast-paced start-up environment with an innovative mindset.
Understanding of payment chains including CCDC, PAYPAL, E-wallet, etc.
Knowledge of fraud trends and chargeback scenarios.
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