Daraz PK-Fraud Risk Analyst-Risk&Security

Fraud Case Investigation & Resolution: Conduct thorough post-transaction reviews of suspected fraud cases (e.g., account takeover, identity misuse, payment disputes); document findings, escalate when needed, and resolve cases within SLA. Strategy & Alert Collaboration: Monitor and triage alerts from fraud detection systems; assist senior analysts in testing new rules or model thresholds under guidance, and provide actionable feedback on false positives/negatives to improve detection accuracy. Fraud Pattern Analysis: Analyze case-level data using basic SQL or visualization tools to identify emerging fraud trends and propose hypotheses for rule enhancements to the strategy team. Data Collection & Reporting: Extract, summarize, and report on key fraud metrics—including loss patterns, alert volumes, and operational bottlenecks—through dashboards or scheduled reports. Process Adherence & Compliance: Follow standardized investigation protocols, maintain audit-ready case documentation, and support internal or regulatory compliance requests. Cross-functional Coordination: Partner with Strategy, Product, and Tech teams to validate edge cases, test rule changes, and share frontline insights from case reviews. User & Partner Communication: Liaise with customers, banks, or payment partners to collect evidence, facilitate dispute resolution, and explain fraud decisions clearly and professionally.

Must have: Bachelor’s degree in Finance, Business, Economics, Computer Science, or a related field. 3+ years of experience in fraud operations, or payment risk management within fintech, banking, or e-commerce; experience in Pakistan or other emerging markets (e.g., SEA, MENA) is a plus. Basic data literacy: able to write simple SQL queries or use dashboards (e.g., Tableau, Power BI) to extract and interpret case-level fraud data. Familiarity with common payment methods, especially in PK (e.g., mobile wallets like JazzCash/EasyPaisa, card networks, bank transfers) and awareness of fraud typologies (e.g., account takeover, identity fraud, stolen card). Strong attention to detail, process discipline, and ability to manage high-volume casework under SLA pressure. Experience working in fast-paced, high-growth digital financial services environments. Clear written and verbal communication skills in English; Optional regional languages (Chinese/Mandarin) a distinct advantage. Preferred Demonstrated curiosity about fraud strategy: e.g., has proposed process improvements, participated in antifraud strategy implementation, or analyzed false positive trends. Exposure to fraud detection tools or rule engines (e.g., Sift, internal risk systems) — even through training or limited hands-on use.