Fraud Data Analyst

Job not on LinkedIn

🔥 1 minute ago

🇺🇦 Ukraine – Remote

💵 $1.5k - $2.5k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Talent First

11 - 50 employees

🎯 Recruiter

🔒 Cybersecurity

👥 HR Tech

Recruitment • Cybersecurity • HR Tech

Talent First is a global tech recruitment and outstaffing agency that serves industry leaders and fast-growing startups worldwide. Headquartered in London, it has a significant presence with offices in the United States, Israel, Ukraine, Brazil, Bulgaria, and Estonia. The company specializes in providing cybersecurity expertise and 24/7 operational security teams. Its services include tailored outstaffing solutions, technical recruitment for roles from Junior to Executive levels, and managing 24/7 SOC, NOC, Help Desk, and Technical Support teams. Talent First aims to help businesses build efficient workforces by leveraging a global talent pool and providing cost-effective staffing solutions.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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