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.
You are the right future Veriffian for the job if you have
- 4+ years of experience in product analytics, data science, fraud or risk analytics, or a related quantitative field.
- Proven people leadership experience, including leading and developing teams (player-coach style strongly preferred).
- Expert SQL skills, including complex transformations and strong instincts for correctness, performance, and maintainability.
- Strong Python skills for analysis and prototyping (data manipulation, evaluation, automation).
- Experience evaluating, tuning, and deploying fraud or risk models, with a strong grounding in statistics
- Experience with fraud detection and risk decisioning concepts, such as:
- Precision/recall tradeoffs and cost-sensitive evaluation
- Thresholding and calibration
- Delayed or noisy labels, selection bias, and feedback loops
- Anomaly detection, supervised approaches, and pragmatic rule plus model systems
- Strong product judgment: you can connect fraud decisions to customer experience and business outcomes.
- Strong analytical communication: you can craft narratives that drive alignment and action.
- Familiarity with dashboard design and performance principles, including appropriate visual selection, clear information hierarchy, metric framing, interactivity tradeoffs, and techniques for building performant dashboards on large datasets.
Nice to have
- Experience in identity, payments, fintech, marketplaces, trust and safety, or similar adversarial domains
- Experience partnering closely with Product Engineering on shipping measurement, experimentation, and decisioning improvements.
- Familiarity with modern data stacks (data warehouses, orchestration, dbt, BI tools like Tableau).
- Experience building monitoring and alerting for key fraud and risk metrics.
- Comfort working with sensitive user data and applying strong data governance and access practices.
And you bring these mindsets to the table
- Self-starter: You thrive in ambiguous environments and can define a roadmap that connects to impact.
- Deep problem solver: You push beyond symptoms to uncover root causes, especially in adversarial settings.
- Clear communicator: You make complex analyses understandable and actionable to diverse stakeholders.
- Strategic executor: You can zoom out to align on priorities and zoom in to write SQL, review Python, or debug measurement issues.
- Strong team builder: You invest in people, create clarity, and raise standards through coaching and example.
Why Veriff?
We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, Brazil, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force.
When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include…
- Flexibility to work from home
- Stock options that ensure your share in our success
- Extra recharge days on top of your annual vacation
- Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
- Learning and Development and Health and Sports budget that you are free to tailor to your own needs
- Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary
We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you!
Please be informed that in the final stage of the recruitment process we may request you to go through identity verification. For more information, please see Recruitment Privacy Policy.
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