[Remote] Remote | Fraud & Risk Systems Evaluation Engineer — Up to $90/hour

Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC is offering a specialized remote consulting opportunity for experienced professionals in fraud and risk engineering. The role involves evaluating complex fraud detection systems, assessing technical outputs, and providing structured feedback on risk engineering tasks using modern coding agents.ResponsibilitiesUse modern coding agents to complete and evaluate complex fraud and risk engineering tasksReview generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systemsAssess technical outputs for correctness, scalability, maintainability, reliability, and production-readinessApply professional engineering judgment to realistic fraud, risk, and trust & safety scenariosEvaluate fraud detection logic, rule-based systems, risk scoring workflows, anomaly detection patterns, and abuse prevention mechanismsReview transaction monitoring systems, user behaviour signals, account risk indicators, and platform integrity workflowsIdentify bugs, edge cases, failure modes, weak assumptions, and risk gaps in fraud-related technical outputsProvide structured feedback on system design, data flow, detection quality, and implementation trade-offsCompare outputs from multiple coding agents and assess their strengths, weaknesses, accuracy, and practical usefulnessIdentify where generated solutions succeed, where they fail, and where additional fraud engineering judgment is requiredEvaluate whether generated fraud and risk implementations reflect real-world engineering standardsDocument technical review findings clearly for project teams and quality evaluation workflowsProduce clear, structured evaluations of fraud and risk engineering tasks and generated outputsExplain reasoning around detection logic, risk scoring, abuse prevention, transaction monitoring, scalability, and failure handlingSupport technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusionsHelp ensure outputs reflect production-scale fraud, risk, and trust & safety engineering expectationsSkills2+ years of professional experience in fraud engineering, risk engineering, trust & safety engineering, or related technical domainsHands-on experience building fraud detection systems, risk scoring models, abuse prevention tooling, transaction monitoring systems, or platform integrity workflowsRegular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable toolsAbility to evaluate generated technical solutions in fraud, risk, and trust & safety contextsStrong understanding of detection systems, risk signals, data pipelines, backend workflows, scalability, and system reliabilityClear written communication skills and comfort documenting technical reasoning in a remote, project-based environmentA degree in Computer Science, Software Engineering, Data Science, Information Systems, Cybersecurity, Statistics, Mathematics, or a related technical field is helpfulEquivalent professional experience in fraud engineering, risk systems, trust & safety, payments infrastructure, marketplace integrity, or production software engineering is also highly relevantExperience in fintech, payments, marketplaces, large-scale consumer platforms, or high-volume transaction environments is strongly preferredExperience with Python, SQL, Java, Scala, Go, JavaScript, TypeScript, or comparable engineering languagesFamiliarity with fraud rules engines, risk scoring systems, anomaly detection, graph-based detection, identity verification, payments risk, chargeback workflows, or account abuse preventionExperience with data platforms, streaming systems, Kafka, Spark, Flink, Airflow, Snowflake, BigQuery, Databricks, or comparable infrastructureBackground in technical code review, fraud system evaluation, risk platform architecture, or large-scale consumer platform engineeringStrong comfort working in sprint-based project environments with focused technical assessment windowsBenefitsIndependent contractor engagementFully remote and flexible schedulingSprint-based, project-based availabilityPayments are made weekly via Stripe or Wise based on services renderedSome projects may use accepted-task compensation depending on the specific workflowProjects may be extended, shortened, adjusted, or concluded based on project needs and performanceCompany OverviewAt 24-MAG, we support emerging AI and consulting platforms by sourcing and connecting qualified professionals with remote, contract-based opportunities. It was founded in undefined, and is headquartered in Sheridan, Wyoming, US, with a workforce of 2-10 employees. Its website is https://24-mag.com/.