Fraud Analyst - Risk Assessment

Mercor

Mumbai

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+

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Job summary

Mercor in Mumbai seeks a trusted analytics professional for a trust & safety role focused on fraud and abuse prevention on a high-traffic consumer platform. You will investigate ambiguous cases end-to-end, compile evidence, and present data-backed conclusions to protect user trust.

You will pull data from varied sources, design detection experiments, and document findings clearly for senior stakeholders. 4+ years of data analysis and strong SQL/Python skills are required.

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.
  • 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.

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 — a well-reasoned narrative backed by concrete evidence — so others can act on your conclusions

Skills

Data analysis
SQL
Python
Stakeholder comms
Case write-ups
End-to-end analytics
Attention to detail

Education

Bachelor's degree in technical discipline

Job description

About the Role

You'll join a trust & safety function protecting a high-traffic, consumer-facing platform from fraud and abuse. Partnering with product, engineering, and operations stakeholders, you'll investigate ambiguous, evolving abuse patterns — applying investigative rigor and creative analysis to get to root cause. Over time, you'll build specialized subject-matter expertise across the many forms this abuse can take.

We're looking for candidates with a track record in fraud detection, investigation, and risk assessment — reviewing transactions, spotting anomalies in data, and evaluating exposure. This background could come from insurance fraud, forensic accounting, banking/financial crimes, or similar. Certifications such as CFE or ACFE are a nice-to-have, not required.

What You'll Do
  • 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 — a well-reasoned narrative backed by concrete evidence — so others can act on your conclusions

Work Setup
  • Full-time, onsite in India

  • Must be available to work India Standard Time hours

  • Requires a private, secure workspace (no shared or public settings), given the sensitivity of the content involved

  • Prior experience working on a Mercor project is mandatory

Minimum 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

  • 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 Qualifications
  • 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

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