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

24-Mag•New York, NY

2d•$90•Remote

About The Position

We are sharing a specialised remote consulting opportunity for experienced fraud, risk, and trust & safety engineering professionals with strong coding agent experience and practical judgment across fraud detection systems, risk scoring workflows, abuse prevention tooling, and transaction monitoring platforms. This role supports current and upcoming remote consulting opportunities focused on fraud and risk engineering evaluation, coding-agent-assisted technical workflows, system review, abuse prevention analysis, and realistic trust & safety engineering scenarios. Selected professionals may use tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable coding agents to complete, review, and evaluate technical tasks involving fraud detection, risk modelling, transaction monitoring, abuse prevention, and large-scale consumer or financial systems.

Requirements

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
Experience in fintech, payments, marketplaces, large-scale consumer platforms, or high-volume transaction environments is strongly preferred
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
Candidates requiring H1-B or STEM OPT sponsorship support are not eligible at this time
Work must not involve sharing confidential or proprietary information from any employer, client, or institution

Nice To Haves

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

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

Benefits

Remote consulting work aligned with fraud engineering, risk systems, coding agent, and technical evaluation expertise
Opportunity to evaluate realistic fraud and risk engineering workflows involving detection systems, transaction monitoring, abuse prevention, and trust & safety platforms
Suitable for engineers who enjoy technical assessment, tool-assisted coding workflows, risk logic review, and practical systems problem-solving
Sprint-based project work that can align with focused availability and remote schedules
Independent contractor engagement
Fully remote and flexible scheduling
Sprint-based, project-based availability
Some project work may run in focused 12–24 hour sprint windows depending on project requirements
Compensation may reach up to $90/hour, depending on project scope, experience, and accepted work structure
Some projects may use accepted-task compensation depending on the specific workflow
Payments are made weekly via Stripe or Wise based on services rendered
Projects may be extended, shortened, adjusted, or concluded based on project needs and performance