About the Role:
We are looking for a Fraud Investigations Analyst to join our team and help investigate, detect, analyze, and mitigate fraudulent activities. This role requires a sharp, analytical mindset with strong investigative instincts. The ideal candidate has experience in fraud detection, risk assessment, and data analysis, with a working knowledge of SQL for querying and analyzing transactional data, this position will work closely with Customer Support and Data Team.
Conduct in-depth investigations of suspicious clicks/installs, user activities, and fraud-related incidents.
Conduct thorough investigations into alleged cases of unauthorized clicks or installs.
Evaluate denied claims to validate a proper investigation was conducted and the correct decision made
Complete daily operational tasks, including transactional fraud investigation, high risk transaction reviews, and response to customer inquiries.
Analyze fraud patterns, identify anomalies, and escalate high-risk cases.
Utilize SQL to extract, manipulate, and analyze data for fraud detection and reporting.
Collaborate with customer support teams to mitigate fraudulent activities as the most common starting point of investigations.
Contribute in developing and improving fraud detection rules, alerts, and monitoring strategies, leveraging both manual investigations and automated tools.
Document findings, maintain detailed case records, and provide recommendations for fraud prevention.
Stay updated on industry trends, fraud tactics, and emerging threats to continuously improve fraud detection strategies.
2+ years of experience in fraud investigation, risk analysis, or a similar investigative role.
Knowledge in SQL to query and analyze transactional data (e.g., filtering, joins, aggregations).
Strong analytical and problem-solving skills, with an investigative mindset.
Experience with fraud detection tools, case management systems, or risk monitoring platforms is a plus.
Ability to communicate findings effectively to internal stakeholders and law enforcement if required.
Comfortable working with large datasets and identifying fraud patterns.
Experience in gaming, or ad tech fraud investigations.
Knowledge of Python or other scripting languages for fraud analysis.
Understanding of machine learning-based fraud detection methods.