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.
Responsibilities
- Use modern coding agents to complete and evaluate complex fraud and risk engineering tasks
- Review generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems
- Assess technical outputs for correctness, scalability, maintainability, reliability, and production-readiness
- Apply professional engineering judgment to realistic fraud, risk, and trust & safety scenarios
- Evaluate fraud detection logic, rule-based systems, risk scoring workflows, anomaly detection patterns, and abuse prevention mechanisms
- Review transaction monitoring systems, user behaviour signals, account risk indicators, and platform integrity workflows
- Identify bugs, edge cases, failure modes, weak assumptions, and risk gaps in fraud-related technical outputs
- Provide structured feedback on system design, data flow, detection quality, and implementation trade-offs
- Compare outputs from multiple coding agents and assess their strengths, weaknesses, accuracy, and practical usefulness
- Identify where generated solutions succeed, where they fail, and where additional fraud engineering judgment is required
- Evaluate whether generated fraud and risk implementations reflect real-world engineering standards
- Document technical review findings clearly for project teams and quality evaluation workflows
- Produce clear, structured evaluations of fraud and risk engineering tasks and generated outputs
- Explain reasoning around detection logic, risk scoring, abuse prevention, transaction monitoring, scalability, and failure handling
- Support technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusions
- Help ensure outputs reflect production-scale fraud, risk, and trust & safety engineering expectations
Skills
- 2+ years of professional experience in fraud engineering, risk engineering, trust & safety engineering, or related technical domains
- Hands-on experience building fraud detection systems, risk scoring models, abuse prevention tooling, transaction monitoring systems, or platform integrity workflows
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable tools
- Ability to evaluate generated technical solutions in fraud, risk, and trust & safety contexts
- Strong understanding of detection systems, risk signals, data pipelines, backend workflows, scalability, and system reliability
- Clear written communication skills and comfort documenting technical reasoning in a remote, project-based environment
- A degree in Computer Science, Software Engineering, Data Science, Information Systems, Cybersecurity, Statistics, Mathematics, or a related technical field is helpful
- Equivalent professional experience in fraud engineering, risk systems, trust & safety, payments infrastructure, marketplace integrity, or production software engineering is also highly relevant
- Experience in fintech, payments, marketplaces, large-scale consumer platforms, or high-volume transaction environments is strongly preferred
- Experience with Python, SQL, Java, Scala, Go, JavaScript, TypeScript, or comparable engineering languages
- Familiarity with fraud rules engines, risk scoring systems, anomaly detection, graph-based detection, identity verification, payments risk, chargeback workflows, or account abuse prevention
- Experience with data platforms, streaming systems, Kafka, Spark, Flink, Airflow, Snowflake, BigQuery, Databricks, or comparable infrastructure
- Background in technical code review, fraud system evaluation, risk platform architecture, or large-scale consumer platform engineering
- Strong comfort working in sprint-based project environments with focused technical assessment windows
Benefits
- Independent contractor engagement
- Fully remote and flexible scheduling
- Sprint-based, project-based availability
- Payments are made weekly via Stripe or Wise based on services rendered
- Some projects may use accepted-task compensation depending on the specific workflow
- Projects may be extended, shortened, adjusted, or concluded based on project needs and performance
Company Overview
At 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/.