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Fraud Analyst - Risk Assessment

Role overview

Qualifications

  • Bachelor's degree in a technical discipline, or equivalent hands-on experience.
  • 4+ years analyzing data—spotting trends, building summary stats, turning raw data into decisions.
  • 4+ years working end-to-end on ambiguous, open-ended analytical projects.
  • Comfortable with SQL and Python for analysis; strong problem-solving instincts and efficient execution.

Responsibilities

  • Investigate ambiguous cases end-to-end, turning findings into data-backed conclusions that keep user trust as the top priority.
  • Pull together varied data sources and signals to trace deceptive or manipulative activity, and help design new detection experiments.
  • Document findings clearly with a well-reasoned narrative backed by concrete evidence so others can act on your conclusions.
  • Collaborate with product, engineering, and operations stakeholders to address evolving abuse patterns.

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Fraud Analyst – Content & Reviews Abuse
Type: Contract
Compensation: $15–$25/hour
Location: Remote

Role Responsibilities

  • Investigate ambiguous cases end-to-end, turning findings into data-backed conclusions that keep user trust as the top priority.
  • Pull together varied data sources and signals to trace deceptive or manipulative activity, and help design new detection experiments.
  • Document findings clearly with a well-reasoned narrative backed by concrete evidence so others can act on your conclusions.
  • Collaborate with product, engineering, and operations stakeholders to address evolving abuse patterns.
  • Build specialized subject-matter expertise across various forms of abuse.

Qualifications

Must-Have

  • Bachelor's degree in a technical discipline, or equivalent hands-on experience.
  • 4+ years analyzing data—spotting trends, building summary stats, turning raw data into decisions.
  • 4+ years working end-to-end on ambiguous, open-ended analytical projects.
  • Comfortable with SQL and Python for analysis; strong problem-solving instincts and efficient execution.
  • Strong written/verbal communication, including translating dense policy concepts into plain language.
  • Track record presenting analytical findings to senior stakeholders.
  • Able to produce thorough case write-ups and detailed observation notes.

Preferred

  • Familiarity with how fraud/abuse evolves on online platforms over time.
  • Background in program or policy management, customer/merchant experience, or business strategy.
  • Exposure to content moderation, policy enforcement, customer support, or policy design.
  • Sharp problem-solving and critical-thinking instincts with strong attention to detail.
  • Some familiarity with AI/ML or generative AI concepts.
  • CFE/ACFE certification a plus.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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