[Hiring] Fraud Detection Specialist - Risk Analysis @Mercor

Role Description

Investigate ambiguous cases end-to-end. Turn findings into data-backed conclusions that prioritize user trust.

• Pull together varied data sources and signals to trace deceptive or manipulative activity.
• Help design new detection experiments.
• Document findings clearly with a well-reasoned narrative backed by concrete evidence.
• Ensure 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 over time.

Qualifications

• Must-Have:
• Bachelor's degree in a technical discipline or equivalent hands-on experience.
• 4+ years analyzing data, spotting trends, and turning raw data into decisions.
• 4+ years working on ambiguous, open-ended analytical projects.
• Comfortable with SQL and Python for analysis.
• Strong written/verbal communication skills.
• Experience presenting analytical findings to senior stakeholders.
• Ability to produce thorough case write-ups and detailed observation notes.
• Preferred:
• Familiarity with fraud/abuse evolution on online platforms.
• Background in program or policy management, customer/merchant experience, or business strategy.
• Exposure to content moderation, policy enforcement, customer support, or policy design.
• Some familiarity with AI/ML or generative AI concepts.
• CFE/ACFE certification a plus.

Company Description

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.