Senior Product Data Analyst (Fraud Platform)

<div class="p-rich_text_section"> <h3><strong>Senior Product Data Analyst (Fraud Platform)</strong></h3> </div> <div class="p-rich_text_section"> <p>Join our Data Insights team supporting the Fraud Platform to help detect and stop fraud in real time—without slowing down good users. You’ll be instrumental in analyzing telemetry, risk scoring, and fraud countermeasures to reduce fraud attacks and improve accuracy across our detection systems.</p> <p><strong>What You’ll Do</strong></p> <ul> <li><strong>Translate data into action</strong>: Deliver insights that help reduce false positives and detect emerging fraud patterns.</li> <li><strong>Drive product clarity</strong>: Track and report on fraud-related metrics, including detection accuracy, latency, and escalation volume.</li> <li><strong>Unlock opportunities</strong>: Identify accuracy gaps and propose interventions in scoring, telemetry, or model thresholds.</li> <li><strong>Champion data quality</strong>: Define and uphold reliable metric standards across the fraud detection ecosystem.</li> <li><strong>Own impact analysis</strong>: Validate the effect of new fraud models or thresholds via controlled experiments or backtesting.</li> <li><strong>Support scalable infrastructure</strong>: Build dashboards and alerts to monitor fraud metrics and reduce escalations.</li> <li><strong>Work cross-functionally</strong>: Align insights with Product Managers, Engineers, and Fraud teams to reduce fraud without degrading user experience.</li> </ul> <p><strong>You’re a Great Fit If You...</strong></p> <ul> <li>Have 3+ years of analytics experience, ideally in fraud, security, or anomaly and pattern detection.</li> <li>Are fluent in SQL and have a working knowledge of Python.</li> <li>Are experienced in Tableau (or a similar BI tool), and can turn complex fraud patterns into actionable visualizations.</li> <li>Understand telemetry and risk scoring.</li> <li>Communicate effectively with engineers and policy stakeholders alike.</li> <li>Can reason across user behavior and adversarial tactics.</li> <li>Thrive in ambiguity and fast response environments.</li> </ul> <p><strong>Bonus Points If You...</strong></p> <ul> <li>Have experience building fraud scoring models</li> <li>Have worked in fintech, security, or trust and safety domains.</li> <li>Are familiar with streaming data or real-time alerting.</li> <li>Can debug, tune, and validate experiment frameworks for fraud impact.</li> </ul> <p><strong>Location</strong><strong><br></strong>&nbsp;Preferred: Estonia → Spain → Rest of Europe</p> <div class="p-rich_text_section"><em data-stringify-type="italic">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!</em><span class="c-message__edited_label" data-sk="tooltip_parent">&nbsp;</span></div> </div> <div class="p-rich_text_section">&nbsp;</div> <div class="p-rich_text_section">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&nbsp;<a class="c-link" href="https://www.veriff.com/recruitment-privacy-policy" target="_blank" data-stringify-link="https://www.veriff.com/recruitment-privacy-policy" data-sk="tooltip_parent">Recruitment Privacy Policy</a>.</div> <div class="p-rich_text_section"><span style="color: rgb(255, 255, 255);">#LI-LP1 #TAL</span></div> <div class="p-rich_text_section"><span style="color: rgb(236, 240, 241);">#TBT #BAR</span></div>