Senior Payments Optimization & Risk Analyst

Socket.dev; Chicago, Northern (IL, KY); Hybrid; USD 154,000 - 200,000; Full time

Job summary

Adyen in Chicago seeks a Senior Optimization Data Analyst to drive payment performance analytics across risk, fraud, and ML‑driven decisioning. You will own end‑to‑end analyses on large transactional data and translate findings into merchant strategies in collaboration with product teams.

The role requires 10+ years in data analytics within payments/fintech, expert Python/SQL/PySpark, and the ability to build scalable data tools. Office‑based with strong total rewards and growth opportunities.

Qualifications

• 10+ years of data analytics, data science, risk, or fraud optimization.
• Expert‑level proficiency in Python, SQL, and PySpark for large-scale data processing.
• Experience with data visualization/self-service analytics tools such as Looker or Tableau.
• Payments/fintech domain experience required at this level.

Responsibilities

• Lead merchant risk, fraud, and ML optimization analyses for complex engagements.
• Analyze large-scale risk model data and ML outputs to generate actionable insights.
• Collaborate with product teams to connect model behavior to merchant strategy.
• Develop reusable analytical frameworks, experiments, and best practices.
• Build scalable data products and automation to extend PO impact.
• Mentor and transfer domain knowledge to other analysts.

Skills

Python

SQL

PySpark

Looker

Tableau

Tools

Looker

Tableau

Job description

Adyen in Chicago seeks a Senior Optimization Data Analyst to drive payment performance analytics across risk, fraud, and ML‑driven decisioning. You will own end‑to‑end analyses on large transactional data and translate findings into merchant strategies in collaboration with product teams.

The role requires 10+ years in data analytics within payments/fintech, expert Python/SQL/PySpark, and the ability to build scalable data tools. Office‑based with strong total rewards and growth opportunities.