Adyen
Senior Optimization Data Analyst
$154K–$200K
Chicago · Senior · Full-time · Posted Sep 3, 2026
- Experience
- 10+ years of relevant experience in data analytics, data science, risk, or fraud optimization.
About the job
Leads complex merchant payment-optimization work, focusing on risk, fraud, and ML-driven decisioning, while developing analysis, tools, and methods that improve merchant outcomes and inform product strategy.
What you'll do
- Lead complex merchant engagements and advise on risk, fraud, ML decisioning, authentication, and authorization optimization.
- Analyze large-scale risk-model data and conduct advanced analyses, A/B tests, and statistical investigations; share findings with product teams.
- Build reusable analytical frameworks, tools, workflows, and playbooks; mentor analysts and enable commercial teams to use optimization insights.
What they ask for
- 10+ years of relevant experience in data analytics, data science, risk, or fraud optimization, with measurable impact in payments or fintech.
- Deep risk and fraud analytics expertise, including hands-on work with ML-based decisioning systems, large-scale risk model data, and labeled risk data.
- Expert-level Python, SQL, and PySpark skills; experience in large-scale processing, scalable ETL pipelines, and production-grade analytical systems.
- Payments or fintech industry experience is required; strong statistical methods, stakeholder communication, and independent cross-functional leadership are also specified.
Pay
$154,000 - $200,000 USD base salary
Tools
Python, SQL, PySpark, Looker, Tableau, Spark, Airflow, Git
AI focus
Analyze ML output and labeled risk data, interpret risk-model behavior, advise on operationalizing ML-driven decisioning, and develop frameworks for emerging AI/ML-related payment and fraud challenges.
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