Product Analytics Lead, Fraud and Decisioning

The Operations and Analytics team powers Veriff’s business engine. We’re cracking the online identity crisis in a scalable way, deploying excellence to keep Veriff on the cusp of innovation. It’s a fast-paced market with many challenges as fraud at Veriff is not theoretical. In 2025, more than 4% of all identity verification attempts globally were fraudulent and impersonation fraud alone accounted for over 85% of attempted attacks. At the same time, AI-driven fraud is accelerating: digitally presented media was 300% more likely to be AI-manipulated compared to the year before. 

We’re bringing new talent on board to help fill critical gaps - introducing fresh ways of thinking and unlocking new possibilities. Our team blends operational excellence with deep technical insight, bringing together systems, processes, and analytics to ensure Veriff runs efficiently and intelligently.

We’re looking for a curious and driven player-coach to lead our Product Analytics team focused on fraud, risk, and decisioning. In this role, you’ll make a meaningful impact by elevating how Veriff measures, detects, and prevents fraud while protecting customer experience and growth. You’ll lead a team of about 5 to 6 analysts partnering closely with Product Engineering, Data Science, and Operations to improve detection systems, optimize models and thresholds, and build the analytics foundation that drives product decisions.

This role sits at the center of that challenge, helping Veriff measure what’s really happening, detect shifts early, and guide product decisions that protect customers while enabling growth.

If you enjoy solving ambiguous problems in adversarial environments, care deeply about strong measurement and clean analytics, and thrive on building high-performing teams that ship real impact, we’d love to hear from you.

What you’ll do

You’ll help power Veriff’s product outcomes by:

• Leading and developing a high-impact team
• Lead a team of 5 to 6 product analysts working across fraud, risk, and product performance.
• Coach team members on technical excellence (SQL, Python, experimentation, analytical rigor) and product thinking.
• Build a culture of high standards: reproducible analysis, strong documentation, clear communication, and healthy stakeholder partnership.
• Own hiring, onboarding, and career development to scale a strong, durable team.
  
  
• Owning fraud and risk analytics strategy
• Define, standardize, and operationalize the right measurement framework for fraud and risk: loss rates, attack rates, precision/recall tradeoffs, false positive costs, time-to-detection, review burden, and customer friction.
• Support the product teams by building and maintaining monitoring to detect fraud pattern shifts, drift, data issues, and emerging abuse vectors.
  
  
• Driving model and decisioning optimization with Product Engineering
• Partner with Product Engineering and Data Science on model evaluation, threshold tuning, segmentation strategy, and feature effectiveness.
• Design offline and online validation approaches where standard A/B testing is hard (holdouts, shadow tests, incremental rollouts, pre-post with guardrails).
• Help teams make principled tradeoffs between fraud prevention, conversion, approval rates, latency, operational cost, and customer experience.
  
  
• Improving instrumentation, metrics, and analytics foundations
• Ensure event tracking and instrumentation supports key fraud and product questions, and is reliable enough for decision-making.
• Establish metric definitions and guardrails so teams trust dashboards and analysis across product surfaces.
• Create scalable reporting and self-serve tooling so product teams can answer questions quickly without sacrificing rigor.
  
  
• Influencing product direction through clear, actionable insights
• Turn ambiguous questions into structured analyses and recommendations that change what teams build.
• Communicate complex results to stakeholders of all backgrounds, from engineers to senior leadership.
• Drive an impact-focused roadmap with clear prioritization, measurable outcomes, and strong follow-through.