

Abuse and Fraud Analyst
Expected compensation: 50.00 - 75.00 USD Per Hour
HireArt is 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 (HireArt) Subsidized healthcare benefits
• Flexible Spending Account for healthcare-related costs
• HireArt covers all costs for short- and long-term disability and life insurance
• 401k package
Commitment: This is a full-time, ongoing contract position staffed via HireArt. This role will be onsite and available to candidates local to the San Francisco, CA area.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.