Fraud Data Analyst

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Actively monitor and assess threats and suspicious activities across Trustmi's client base.

• Conduct thorough investigations of alerts from beginning to end: triage, in-depth analysis, and transform findings into actionable items and remediation strategies.

• Integrate various data sources, including the Trustmi intelligence trust network and external threat feeds.

• Assist customers with payment processes and workflows, ensuring secure daily operations.

• Provide professional, proactive, and personalized service to maintain high customer satisfaction.

• Work closely with research and development teams, contributing field insights to enhance the product.

• Produce fraud analysis reports and document best practices for the knowledge base.

⛳️ Requirements

• Over 3 years of experience in an analytical position within the cyber or fraud sector.

• Outstanding analytical abilities, a research-driven mindset, and innovative, out-of-the-box thinking.

• Practical experience in research, information collection, monitoring, and analysis.

• Proficiency in Python for data analysis.

• Self-motivated with strong multitasking abilities and a problem-solving orientation.

• Professional and articulate communication skills with excellent written and verbal English proficiency.

• Familiarity with Pandas or other Python data analysis libraries (preferred).

• Experience in working with and configuring rule engines (preferred).

• Knowledge of incident response and computer forensic investigations (preferred).

• Experience with NoSQL databases (preferred).

• Proficiency in AI coding tools such as Cursor, Codex, Claude Code, or similar (preferred).

• Position based in Ukraine, requiring work on a US timezone schedule with significant overlap with US business hours.

🏝️ Benefits

• Competitive salary.

• Engaging work at the cutting edge of cyber fraud prevention, safeguarding real transactions for genuine organizations.

• Close collaboration with a world-class research team and R&D departments.

• Direct impact on the product: findings influence detection logic and best practices.

• Opportunities for professional growth within a rapidly evolving cyber fraud technology ecosystem.

• An international and supportive team environment.