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Adyen is seeking a Senior Optimization Data Analyst to lead the Performance Optimization team's most complex merchant engagements, with deep expertise in payment optimization across authentication, authorization, cost, risk, fraud, and ML-driven decisioning.
In this role, you will combine hands-on technical capability with recognized domain expertise to drive measurable outcomes for Adyen's largest and most complex merchants. You will work directly with large-scale transactional data, ML output, and labeled risk data to generate comprehensive insights that connect to merchant strategy and business impact.
Key responsibilities include:
• Leading Adyen's most complex merchant engagements in risk, fraud, and ML optimization. You will design and interpret sophisticated analyses, advise merchants on operationalizing ML-driven decisioning systems, identify performance gaps requiring domain expertise, and drive strategic improvements in fraud strategy, risk configuration, authentication flows, and authorization performance.
• Analyzing large-scale risk model data to detect performance patterns and generate insights across merchant segments, traffic types, and risk profiles. You will work closely with product teams to build an analytical layer that improves explainability and enables targeted optimization, going beyond standard analytics to surface hidden patterns in complex data.
• Collaborating with Adyen's risk product teams to contribute structured, data-backed insights at the portfolio level. You will identify inconsistencies in model outcomes across segments, gaps between merchant strategies and model behavior, and opportunities where analytical findings can inform product priorities.
• Driving analytical excellence and methodology ownership for the Performance Optimization team. You will design advanced analyses, A/B tests, and statistical investigations that set standards for rigor. You will develop reusable frameworks, experiment designs, and best practices that enable other team members to operate independently.
• Leading automation initiatives that scale PO's reach beyond direct engagement. You will build scalable data products, tools, and workflows that allow commercial stakeholders to access and act on risk and fraud optimization insights independently.
The ideal candidate has a proven track record driving measurable outcomes through data analytics in payments or fintech, with deep hands-on experience working with large-scale transactional data and ML-based risk data. You operate with high autonomy, owning complex analytical problems end-to-end from scoping through recommendation, and excel at translating data insights into actionable strategies for merchants and internal teams.
