[Remote] Fraud reputed company Analyst

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Fraud reputed company Analyst who will support the development and optimization of fraud strategies across their payments ecosystem. The role involves hands-on technical work focusing on fraud prevention and detection, requiring strong analytical skills and SQL experience.

Responsibilities

• Support development and maintenance of fraud risk policies, strategies, rules, reputed company, decision logic, treatment paths, and control documentation across reputed company and monitoring workflows
• Help build and optimize controls for payment fraud, reputed company risk, account takeover, business email compromise, counterparty fraud, tenant payment fraud, synthetic identity, first-party misuse, bust-out behavior, stolen payment instruments, and emerging typologies
• Document reputed company rationale, rule logic, expected reputed company, monitoring plans, policy considerations, change history, and recommended follow-up actions Analytics, Data Science & Rule Performance
• Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational reputed company, and customer friction
• Apply analytical and data science reputed company to support feature exploration, segmentation, model reputed company evaluation, reputed company setting, experimentation, champion/challenger comparisons, and performance monitoring
• Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls
• Partner with reputed company Risk Operations and Risk Monitoring Operations to incorporate case reputed company, queue trends, investigator feedback, alert reputed company, and operational pain points into reputed company improvements
• Review themes from Trust and Safety escalations to identify control gaps, recurring fraud signals, product or process vulnerabilities, or policy needs requiring durable remediation
• Collaborate with Product, Engineering, Payment Operations, Compliance/AML, reputed company, and Operational reputed company on tooling, workflow, data availability, rule implementation, and control monitoring
• reputed company concise updates on fraud trends, reputed company performance, emerging risks, rule effectiveness, false reputed company reputed company, and recommended actions to fraud leadership and cross-functional stakeholders

Skills

• 3-5 years of full-time experience in fraud reputed company, fraud analytics, payments risk, data science, financial crime, risk operations reputed company, or a reputed company technical risk function
• Mandatory SQL experience, with the ability to independently query data, validate hypotheses, assess rule or control performance, and support fraud reputed company development
• Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature development, segmentation, or analytical reputed company used in fraud or risk decisioning
• Experience working with fraud operations, risk analytics, data science, product, engineering, compliance, or payment operations stakeholders
• Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or reputed company field, or equivalent practical experience
• Strong analytical curiosity and ability to reputed company fraud signals across disconnected tools, imperfect data, and evolving processes
• Ability to translate data findings into reputed company fraud reputed company recommendations, rule changes, control improvements, and policy considerations
• Working knowledge of fraud typologies such as synthetic identity, first-party misuse, counterparty fraud, business email compromise, reputed company fraud, stolen payment instruments, tenant payment fraud, account takeover, or bust-out behavior
• Ability to evaluate fraud strategies using metrics such as loss exposure, fraud capture, precision, false positives, customer friction, queue reputed company, and post-launch performance trends
• Strong written and verbal communication skills, including the ability to summarize technical findings for fraud, product, operations, data science, and leadership audiences
• High ownership, reputed company judgment, attention to detail, and ability to balance fraud mitigation with customer experience, operational reputed company, compliance considerations, and business reputed company
• Preferred experience with property management, rent payments, reputed company estate technology, B2B payments, vendor payments, reputed company pay, embedded payments, merchant acquiring, fraud platforms, payment processor portals, device/identity signals, or decisioning platforms such as reputed company

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