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Fraud Detection System Analyst Jobs (NOW HIRING)

About the Role We're seeking a Fraud Analyst to serve as the founding member of our risk team. In ... Design, implement, and document our company's initial rules-based fraud detection system to create ...

Fraud Analyst

Los Angeles, CA · On-site

$60K - $80K/yr

About the Role We're seeking a Fraud Analyst to serve as the founding member of our risk team. In ... Design, implement, and document our company's initial rules-based fraud detection system to create ...

Utilize various fraud detection tools to identify and prevent fraud proactively. Accurately ... Comfortable navigating multiple systems and applications, utilizing resources to solve routine ...

Multi-task across various systems to mitigate cardholder and credit union losses. * Maintains a ... Ability to accurately interpret information as well as demonstrate problem solving and analytical ...

Work with internal technology teams and third-party providers to enhance fraud systems, rules management, analytics, reporting, and detection tools * Monitor fraud trends and KPIs and communicate ...

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Fraud Detection System Analyst information

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How much do fraud detection system analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for fraud detection system analyst in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

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For Fraud Detection System Analyst jobs, the most frequently searched job titles are:

Fraud Analyst

Los Angeles, CA • On-site

Full-time

Posted 13 days ago


Job description

About Arena Club

Arena Club is building the number one digital marketplace for collectibles. We started by reinventing the hobby with the first-ever digital card show, and we are expanding into new categories so collectors can buy, sell, grade, and showcase everything they care about in one place. Spearheaded by 5x World Series Champion Derek Jeter and serial entrepreneur Brian Lee, our fully digital marketplace is grounded in trust, transparency, and fun, featuring grading and authentication, vaulting, and digital pack openings that let collectors build and display their collections in a personalized online showroom from anywhere in the world.

 About the Role

We're seeking a Fraud Analyst to serve as the founding member of our risk team. In this role, your primary mission is to protect our business infrastructure, secure our payment ecosystem, and defend the platform against direct financial scams and payment abuse. This is a unique opportunity to build fraud prevention strategies and rules-based systems from the ground up. 

 What You Will Do
  • Establish the Foundation: Design, implement, and document our company's initial rules-based fraud detection system to create a secure operational baseline
  • Protect Business Assets: Monitor transactional data, user registrations, and payment flows to identify and mitigate sophisticated merchant-facing financial fraud and payment abuse
  • Leverage Advanced AI: Utilize cutting-edge LLMs and AI tools to analyze complex data patterns, automate workflows, and rapidly draft behavioral logic rules
  • Drive Business Intelligence: Query transactional databases, uncover systemic anomalies, and translate data trends into actionable fraud prevention policies
  • Manage the Revenue Lifecycle: Oversee the end-to-end chargeback dispute process, optimizing evidence submission to maximize recovery while identifying and patching security gaps
  • Align with Customer Operations: Partner closely with the Director of Customer Service to integrate seamless risk assessment workflows into the customer support experience, ensuring legitimate users face zero friction
 Qualifications
  • Bachelor's degree in a quantitative discipline
  • 1-3 years of experience in fraud operations, trust & safety, payments risk, or chargeback/dispute operations
  • Highly tech-forward with demonstrated experience leveraging AI platforms (like Claude) to analyze information, structure logical workflows, and scale your daily output
  • Proficiency in SQL for querying databases independently, combined with advanced Excel capabilities for deep-dive transactional analysis
  • Highly autonomous, comfortable navigating ambiguity, and excited by the challenge of building scalable processes where no prior playbook exists
  • Strong foundational understanding of digital payment networks, merchant-side credit card processing, and standard chargeback mechanics
  • Experience with a large payment processor such as Stripe for payments, disputes, etc.

Preferred Qualifications

  • Experience with Metabase