Fraud Detection Specialist - Fully Remote | Upto $25/hr

mercor; India; Remote; INR 2,002,000 - 3,337,000; Part time

Job summary

Mercor is seeking a Fraud Analyst for a remote, contract position focused on content and reviews abuse. You will analyze data using SQL and Python, build end-to-end investigations, and generate evidence-based narratives for decision-making.

You will coordinate with product, engineering, and operations to adapt to evolving abuse patterns and to develop SME expertise across abuse forms. The ideal candidate brings 4+ years of data analysis experience, strong communication skills, and a track record

Qualifications

• Bachelor's degree in a technical field or equivalent hands-on experience.
• 4+ years in data analysis and end-to-end analytic projects.
• Proficiency in SQL and Python for analysis.
• Strong communication and ability to present findings to leadership.

Responsibilities

• Investigate ambiguous cases end-to-end with data-backed conclusions.
• Compile diverse data sources to detect abuse and help design experiments.
• Document findings with a clear narrative and evidence.
• Collaborate with product, engineering, and operations to address abuse patterns.
• Develop subject-matter expertise on various forms of abuse.

Skills

Data analysis

SQL

Python

Communication

Stakeholder presentation

Education

Bachelor's degree in a technical discipline

Tools

Pandas

Excel

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

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.