Lead complex merchant engagements in the risk, fraud, and ML optimization domain
Analyze large-scale risk model data and generate insights
Collaborate with product teams and contribute to portfolio intelligence
Drive analytical excellence and own methodology in risk and fraud domain
Automate and build scalable technical solutions
Commercial enablement and knowledge transfer

🎯 Requirements

10+ years of relevant experience in data analytics, data science, risk, or fraud optimization in
Deep expertise in risk and fraud analytics with ML-based decisioning
Expert-level proficiency in Python, SQL, and PySpark
Strong experience with data visualization tools like Looker or Tableau
Deep understanding of statistical methods including hypothesis testing, experiment design
Experience with Spark, Airflow, and Git

🎁 Benefits

Equity (RSUs)
401(k)
Health, dental, vision insurance

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