Senior Optimization Data Analyst

Adyen
Chicago
Workplace: OnsiteFull timeUSD 154,000 - 200,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Autonomy","Analytical rigor","Cross-functional communication","Stakeholder alignment","Mentorship"]

Drive payment performance optimization for Adyen’s most complex merchants by leading risk, fraud, and ML-driven decisioning analyses. Work with large-scale transactional and labeled risk data to uncover model behavior patterns, improve explainability, and translate insights into merchant-facing recommendations. Partner with risk and product teams to shape portfolio intelligence, establish rigorous analytical methodology (including A/B testing and statistical investigations), and build scalable tools, playbooks, and automations that multiply team impact.

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Adyen
Adyen
1 day ago

Senior Optimization Data Analyst

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Last checked: 8 hours agoStatus: Live

Job Summary

Drive payment performance optimization for Adyen’s most complex merchants by leading risk, fraud, and ML-driven decisioning analyses. Work with large-scale transactional and labeled risk data to uncover model behavior patterns, improve explainability, and translate insights into merchant-facing recommendations. Partner with risk and product teams to shape portfolio intelligence, establish rigorous analytical methodology (including A/B testing and statistical investigations), and build scalable tools, playbooks, and automations that multiply team impact.
Location: Chicago
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Lead risk, fraud, and ML optimization merchant engagements, designing and interpreting advanced analyses and advising on safe operationalization of ML-driven decisioning.
  • •Analyze large-scale risk model data (ML output and labeled risk data) to detect patterns, improve explainability, and generate actionable insights across merchant segments and risk profiles.
  • •Collaborate with risk and product teams to deliver portfolio-level intelligence and identify configuration inconsistencies across segments to inform product priorities.
  • •Set analytical methodology standards by designing and executing advanced analyses, A/B tests, and statistical investigations, and creating reusable frameworks and best practices.
  • •Build scalable data products, tools, and automation initiatives plus playbooks to enable PO and commercial stakeholders to access and act on insights independently, and mentor other analysts.

Pay and Benefits

Salary: USD 154,000 - 200,000 annually
Equity and Bonus:Equity
Perks:401kHealth InsuranceDentalVisionRsus

Key Requirements

  • •10+ years of relevant experience in data analytics, data science, risk, or fraud optimization in payments or fintech, with measurable impact.
  • •Deep expertise in risk and fraud analytics, including hands-on work with ML-based decisioning systems and large-scale risk model data.
  • •Expert-level proficiency in Python, SQL, and PySpark, with experience building scalable ETL pipelines and production-grade analytical systems.
  • •Strong statistical and experimentation skills, including hypothesis testing, experiment design, and regression modeling, applied in a business context.
  • •Payments or fintech industry experience is required; experience translating complex findings into merchant-facing recommendations and stakeholder narratives.
Experience:PaymentsFintechRiskFraud optimizationMachine learning
Skills:AutonomyAnalytical rigorCross-functional communicationStakeholder alignmentMentorship
Languages:English
Tech Stack:PythonSQLPySparkLookerTableauSparkAirflowGitETLA/B testingRegression modeling

Company Brief

Adyen
Global payments company providing a unified platform for accepting payments, risk management, and financial services to merchants and enterprises across online, mobile, and in-store channels.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2006
WebsiteLinkedIn