Fraud Data Analyst

• Proactively monitor and review threats and suspicious events across Trustmi's customer base
• Investigate alerts end to end: triage, deep dive, and turn findings into clear action items and remediation plans
• Combine multiple data sources, including the Trustmi intelligence trust network and external threat feeds
• Support customers' payment processes and workflows, helping them operate securely day to day
• Deliver professional, proactive and personal service that keeps customer satisfaction high
• Collaborate closely with research and development teams, feeding field insights back into the product
• Write fraud analysis reports and best practices for the knowledge base

• 3+ years of experience in an analytical role in the cyber or fraud domain
• Exceptional analytical skills, a research orientation, and creative, out-of-the-box thinking
• Hands-on experience in research, information gathering, monitoring and analysis
• Experience with Python for data analysis
• Self-initiative, strong multitasking and a problem-solving approach
• Professional, articulate communication with excellent written and verbal English
• Pandas or other Python data analysis libraries (nice to have)
• Experience working with and configuring rule engines (nice to have)
• Incident response and computer forensic investigations (nice to have)
• Working with NoSQL databases (nice to have)
• AI coding tools such as Cursor, Codex, Claude Code or similar (nice to have)
• Role based in Ukraine and requires working on a US timezone schedule with significant overlap with US business hours

• Competitive salary
• Hands-on work at the forefront of cyber fraud prevention, protecting real payments for real organizations
• Close collaboration with a world-class research team and R&D teams
• Real impact on the product: findings shape detection logic and best practices
• Professional growth in a fast-moving cyber fraud tech ecosystem
• An international, supportive team