Engineering Manager (Fraud Engineering)

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Requirements:

• Expertise in backend development, particularly Python.
• Experience in cloud infrastructure (AWS), databases (Postgres, Clickhouse), and ML pipelines.
• Familiarity with tabular machine learning models and building scalable, reliable systems.
• A strategic mindset with a proven ability to align technical efforts with organizational goals and ROI.
• Curiosity and initiative to uncover collaboration opportunities across teams.
• Strong people leadership skills, including mentorship, fostering an inclusive culture, and building high-performing teams.
• Excellent communication skills (in English) for cross-team collaboration and stakeholder alignment.

Responsibilities:

• Leading and inspiring the team to develop innovative fraud detection systems, maintaining a balance between technical quality and strategic impact.
• Building global risk assessment systems that synthesize signals from other teams and products.
• Fostering collaboration with other product teams to uncover opportunities for fraud detection integration.
• Ensuring the team's outputs are reliable, scalable, and aligned with Veriff’s broader goals.
• Driving technical excellence by guiding architectural decisions, promoting best practices, and fostering a culture of innovation.