Senior Associate, Compliance Model Governance

Design and execute quantitative testing for AI and ML models before and after launch, including input data quality testing, variance and stability testing…

Build and maintain monitoring pipelines and dashboards that track model inputs, outputs, and downstream outcomes (e.g., SAR performance metrics)…

Own data lineage for compliance-critical data elements, designing data quality checks that feed Compliance's data quality control framework and partnering with Engineering to trace…

Write production-quality SQL and Python pipelines, diagnosing and fixing pipeline bugs and leading data migrations that support external regulatory reporting.

Strong grounding in applied statistics (hypothesis testing, drift and stability measures, sampling, confidence intervals) with hands-on experience evaluating ML models…

Advanced SQL and Python skills with experience building monitoring dashboards and working in cloud data environments (e.g., Snowflake or Databricks)…

Demonstrated ability to write testing and model documentation that withstands independent review, and to communicate technical results clearly to non-technical compliance stakeholders and auditors.

Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.