We’re looking for a detail-oriented Cyber Fraud Analyst to join our Trust & Safety team. In this role, you’ll help protect our digital ecosystem from fraud and abuse while supporting enterprise-level security initiatives. You’ll investigate suspicious activity, uncover patterns in complex data sets, and collaborate with partner teams to design smarter, more resilient fraud defenses.
What You’ll Do
- Conduct in-depth investigations into sophisticated fraud cases using analytical tools and data analysis techniques.
- Collaborate with cross-functional teams to validate ML models and improve detection accuracy.
- Monitor dashboards and logs to identify unauthorized activity, fraudulent accounts, and new attack patterns.
- Build SQL and Splunk queries to detect high-risk transactions and emerging fraud trends.
- Develop reports and insights that guide fraud prevention strategies and executive decisions.
- Recommend process improvements and long-term preventive controls to reduce exposure.
What We’re Looking For
- 5+ years in technology, information security, or analytics roles.
- 2+ years of direct enterprise fraud prevention or investigations experience preferred.
- Proficiency with Splunk and SQL for data analysis and threat detection.
- Strong analytical and problem-solving skills with a keen eye for anomalies and trends.
- Skilled in Excel/Sheets for data visualization and trend analysis.
- Exceptional written communication, with the ability to prepare clear, concise reports.
- Self-starter who thrives in a fast-paced, cross-functional environment.
Nice to Have
- Experience defining and documenting fraud prevention processes and controls.
- Familiarity with fraud detection software and rule-based systems.
- Background in digital payments, fintech, or cybersecurity investigations.
Why Join
You’ll play a critical role in protecting users and data, working with a talented team that values curiosity, initiative, and collaboration.
Keywords: Cyber Fraud Analyst | Trust & Safety | Data Analysis | Fraud Prevention | Splunk | SQL | Investigations | Cybersecurity | Risk Management | Digital Trust | Analytics
