Fraud & Abuse Analyst

Responsibilities:
1.Monitor platform activities and investigate suspicious behaviors, fraud patterns, and abuse activities.
2.Analyze data using SQL and Python to identify fraud trends and anomalies.
3.Conduct investigations, root cause analysis, and recommend mitigation actions.
4.Develop and improve fraud detection rules, monitoring processes, and dashboards.
5.Partner with Product, Engineering, and Operations teams to strengthen fraud prevention and risk controls.

Required Qualifications:
1.Bachelor's degree in a quantitative or technical field.
2.Knowledge of SQL and Python for data analysis.
3.Strong analytical and investigative mindset.
4.Ability to work with large datasets and identify meaningful patterns.
5.Effective communication and collaboration skills.