Senior Associate, Compliance Model Governance
Core
Design quantitative testing, monitoring pipelines, and data quality checks for AI/ML models powering financial crime compliance programs.
Role type
Senior IC compliance model governance engineer (quantitative testing & monitoring)
Builds
Monitoring pipelines, dashboards, and data quality frameworks for model health and regulatory defensibility
Domain
Fintech / Financial Crime Compliance / Model Risk Management
Deliverable
production ML models
Required skills
Applied statistics, SQL, Python, ML model evaluation, data lineage tracing, regulatory documentation, drift detection, LLM/agentic system testing
Preferred skills
Experience in financial services or regulated settings, cloud data environments (Snowflake/Databricks), generative AI oversight
Technologies
SQL, Python, Snowflake, Databricks
Responsibilities
Design and execute quantitative testing for AI/ML models; build monitoring pipelines and dashboards; own data lineage for compliance-critical data; write production SQL/Python pipelines; build detective monitoring scenarios; prepare testing evidence and documentation for auditors and regulators
Seniority
Senior, hands-on IC
