Senior Optimization Data Analyst
Core
Senior member of the Performance Optimization team driving payment performance for complex merchants through risk, fraud, and ML-driven decisioning.
Role type
Senior IC optimization data analyst (payments/fintech)
Builds
Analytical frameworks, tools, and scalable data products for risk and fraud optimization
Domain
Payments and financial technology (fintech)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
risk and fraud analytics, ML-based decisioning systems, large-scale transactional data analysis, Python, SQL, PySpark, statistical methods (hypothesis testing, regression), big data technologies (Spark, Airflow), data visualization (Looker, Tableau)
Preferred skills
experience with agentic commerce and agent-initiated payment flows, mentorship of analysts
Technologies
Python, SQL, PySpark, Spark, Airflow, Git, Looker, Tableau
Responsibilities
Lead complex merchant engagements in risk and fraud optimization; analyze model behavior and generate insights; collaborate with product teams to improve model explainability; design advanced data analyses and A/B tests; build automation and scalable data products; develop playbooks and reference frameworks; mentor other analysts
Seniority
Senior, hands-on IC
