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Abuse and Fraud Analyst (data analysis, SQL, and bot detection)

Key Resource Group
San Francisco, CA Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 5/29/2025

Job Description

Job Description

We are helping our client find an experienced Abuse and Fraud Analyst to join its team. In this role, you will play a critical part in identifying and mitigating fraudulent activities, including scraping, spamming, abuse, fake account creation, growth fraud, and unauthorized usage of the company platform.

The ideal candidate is a proactive investigator with experience in data analysis, SQL, and bot detection, and thrives in dynamic environments with evolving challenges.

As an Abuse and Fraud Analyst, you'll :

  • Identify, analyze, and investigate potential bot activities, spamming, scraping, and other abusive behaviors on the platform.
  • Label and categorize bot traffic and fraudulent accounts for further analysis.
  • Write SQL queries to extract, analyze, and interpret data related to abuse and fraud patterns.
  • Create comprehensive reports to inform the team and leadership about emerging threats, trends, and resolutions.
  • Partner with cross-functional teams to develop and implement strategies to prevent abuse and fraud.
  • Support the creation of automated tools and systems for fraud detection and mitigation.
  • Assist in maintaining and improving fraud detection policies and protocols.
  • Provide insights and recommendations for improving platform security based on your findings.

Requirements

  • 3 years of experience in abuse / fraud analysis, bot detection, or a related field
  • Intermediate proficiency in SQL for querying and analyzing large datasets
  • Strong analytical and investigative skills with attention to detail
  • Familiarity with concepts related to bot traffic, fake account detection, and online fraud
  • Ability to create clear, actionable reports and documentation
  • Strong communication and collaboration skills
  • Preferred Qualifications :

  • Experience working in the technology or social media industry
  • Familiarity with tools and systems for fraud detection and prevention
  • Basic understanding of web scraping techniques and prevention
  • Knowledge of growth fraud mechanisms and countermeasures
  • Experience with labeling and annotating data for machine learning models
  • Passion for safeguarding platforms against abuse and improving user experiences
  • Benefits :

  • Pre-tax commuter benefits
  • Employer Subsidized healthcare benefits
  • Flexible Spending Account for healthcare-related costs
  • Employer covers all costs for short- and long-term disability and life insurance
  • 401k package
  • Commitment : This is a full-time, ongoing contract position (W2 hourly benefits).

    Note : This role will be onsite and available to candidates local to the San Francisco, CA area.

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