Director, Transaction Fraud Analytics

What you'll do

• Own the transaction fraud analytics strategy to reduce losses while minimizing customer friction.
• Develop and manage a roadmap for detection capabilities, including prioritization and delivery milestones.
• Establish governance and operating procedures for testing, approving, and monitoring rule and model changes.
• Direct the development, tuning, and deployment of predictive models and fraud rules through iterative optimization.
• Define and monitor key performance metrics such as fraud rates, false positives, and detection latency.
• Create executive dashboards to communicate risk posture, trends, and results to stakeholders.
• Translate emerging fraud patterns into durable controls, automation, and platform enhancements.
• Lead the fraud analytics team by hiring, coaching, and defining career development paths.

What we're looking for

• 8+ years of experience in fraud analytics, payments risk, or transaction monitoring.
• 5+ years leading analytics teams or owning a fraud analytics program with measurable outcomes.
• Expertise in transaction fraud concepts including authorization decisioning, rules strategy, and model performance.
• Advanced proficiency in SQL, data storytelling, and modern tools like Tableau, Power BI, Python, or R.
• Experience with model development/monitoring using gradient boosting (XGBoost/GBM) and A/B testing.
• Familiarity with real-time decisioning platforms such as IBM Safer Payments, Falcon, Actimize, or SAS.
• Knowledge of modern data stacks and streaming ecosystems including Snowflake, Databricks, Kafka, or Spark.
• Understanding of governance and controls for production decisioning, including auditability and model risk practices.