Fraud Analyst

Remote $91k–$93k middle 4 months ago full-time quality 8/10

Role in brief

MoonPay seeks a mid-level Fraud Analyst to lead investigations and develop detection rules, focusing on financial services or e-commerce fraud. This role suits someone with a proactive approach to identifying and mitigating fraud, strong analytical skills, and experience with data tools like SQL and Excel.

fraud detectiondata analysisSQLExcelBI tools

About the role

This role involves leading fraud investigations from the initial alert through root cause analysis and remediation. The analyst will be responsible for understanding various fraud types and attack methods, particularly in the crypto and digital payments sectors. A key part of the work includes creating, implementing, and refining fraud detection rules, as well as evaluating their effectiveness.

The position requires a strong analytical approach to data, using tools to draw conclusions and make recommendations. Success in this role means effectively managing a high volume of cases, maintaining accuracy, and making sound decisions under pressure. The analyst will also need to communicate findings and updates clearly to various stakeholders.

The ideal candidate will demonstrate a proactive, ownership-driven mindset. This means not just identifying issues but also proposing and driving solutions to completion. The work involves continuous monitoring of emerging fraud trends to keep detection systems robust and responsive.

The annual salary for this role ranges from $91,000 to $93,000.

Skills that matter here

  • fraud detection: This role requires hands-on experience building and tuning rules for fraud detection and understanding various fraud typologies.
  • data analysis: The analyst will use data analysis to derive conclusions and recommendations from large datasets during investigations.
  • SQL: SQL is a tool used for data analysis to support fraud investigations and rule development.
  • Excel: Excel is utilized as a data analysis tool to process and interpret information for fraud detection.
  • BI tools: Business Intelligence tools are used for data analysis to inform fraud prevention strategies and investigations.

Who this role suits

  • Someone with a background in financial services, payments, or e-commerce fraud investigation.
  • An individual who can evaluate risks and make sound decisions under pressure.
  • A person who is detail-oriented and can maintain accuracy in a fast-paced environment.
  • A proactive problem-solver who takes ownership of issues from identification to resolution.

From the employer

What You'll Need

  • 3+ years of experience in fraud detection, prevention, and investigation, preferably in financial services, payments, or e-commerce.
  • Demonstrated experience leading complex fraud investigations from initial alert through to root cause analysis and remediation.
  • Hands-on experience building, implementing, and tuning fraud detection rules, including rule backtesting and performance management.
  • Strong understanding of fraud typologies, attack vectors, and emerging trends in the crypto and digital payments space.
  • Experience with data analysis tools and the ability to derive conclusions and recommendations from large datasets (e.g. SQL, Excel, or BI tools).
  • Excellent critical thinking and risk assessment skills—you can evaluate the likelihood and impact of fraudulent activity under pressure and make sound decisions.
  • Strong attention to detail with the ability to maintain accuracy and thoroughness in a high-volume, fast-paced environment.
  • Clear, professional communication skills with the ability to write concise case notes, escalations, and cross-functional updates.
  • A proactive, ownership-driven mindset—you identify problems, propose solutions, and drive them to completion.

Questions about this role

What is the remote work policy for this position?

This is a fully remote position.

What level of seniority is this role?

This is a middle-seniority position.

What are the key skills required for this role?

Key skills include fraud detection, data analysis, SQL, Excel, and BI tools.

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