Fraud Detection Specialist - Risk Analysis

Mercor; Mumbai; On-site; INR 180,000 - 320,000; Full time

Job summary

Mercor in India is seeking a risk and trust analyst to protect a high-traffic platform from fraud and abuse. You will partner with product, engineering, and operations to investigate evolving abuse patterns and develop subject-matter expertise in this area.

The role requires 4+ years in data analysis, SQL and Python, and experience presenting findings to senior stakeholders. Onsite work in India and a private workspace are expected.

Qualifications

• Bachelor's degree in a technical discipline or equivalent hands-on experience.
• 4+ years analyzing data, spotting trends and building summary stats.
• 4+ years working end-to-end on ambiguous, open-ended analytical projects.
• Proficient in SQL and Python for analysis.
• Strong written and verbal communication; translate 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

SQL

Python

Data analysis

Stakeholder communication

Problem solving

Education

Bachelor's degree in a 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