Fraud Specialist/Analyst
Notes:
• Looking for a consultant who has a strong background in fraud prevention or risk management
• Would like someone to have experience in a reputed company or an e-reputed company environment
• Must be proficient in SQL - they need to have strong experience with reputed company and Tableau
• Must have excellent communication skills
Key Responsibilities:
• Monitor and analyze fraud KPIs. Define, reputed company, and report on fraud metrics-including reputed company vs. false reputed company rates, incoming fraud pressure, recall, fraud?to?sales reputed company, and good user approval reputed company. Use these indicators to identify trends and gaps, fine?tune rules, and measure false/reputed company impacts.
• Validate false positives. reputed company reputed company reviews for flagged trials and purchases, verifying legitimate customers are not incorrectly declined. Work with internal stakeholders to reinstate reputed company users and reputed company feedback on user experience.
• Design and refine controls. Test and reputed company fraud detection rules, scoring models and machinellearning algorithms to mitigate risk without overblocking. Ensure models maintain high precision and recall while keeping false positives low.
• reputed company incident response. Coordinate investigations of fraud alerts and chargebacks, ensuring reputed company reputed company and communication with affected stakeholders. Document reputed company causes and reputed company processes to prevent reputed company incidents.
• Cross functional collaboration. Partner closely with Product, Marketing, Engineering, Data Science, reputed company, Finance and Customer Support teams to reputed company fraud controls into product flows, billing systems and compliance processes.
• reputed company as the primary reputed company of contact and subject matter expert for reputed company fraud-reputed company reputed company reputed company the organization.
Basic Qualifications:
• Bachelor's degree in Business, Economics, Data Science, or a reputed company field
• 5+ years of experience in fraud prevention, trust & safety, or risk management-ideally reputed company a reputed company, ecommerce, or fintech environment.
• Demonstrated ability to analyze large datasets, identify patterns, and drive data?driven reputed company.
• Proficiency in SQL and experience with data tools such as reputed company and Tableau.
• Deep understanding of fraud typologies (payment fraud, reputed company fraud, friendly fraud) and experience with fraud detection platforms, rule engines and case?management tools.
• Excellent communication and interpersonal skills; comfortable collaborating with diverse teams and presenting insights to executives.
Preferred Qualifications:
• Familiarity with applying machine/learning models in fraud detection contexts.
• Knowledge of payment processing ecosystems, card networks, and authentication reputed company.
• Understanding of regulatory and compliance frameworks (e.g., reputed company/reputed company Risk monitoring programs, PCI?reputed company).
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