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.
Responsibilities:
- 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.
Requirements:
- 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.
Nice to Have:
- 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.