Senior Associate, Compliance Model Governance

About the role

In this role, you will focus on the quantitative testing of AI and ML models to ensure compliance with financial regulations. You will design and execute tests that assess data quality and model performance, contributing to the integrity of Coinbase's compliance programs.

You will work remotely, collaborating with various teams to enhance compliance models and prepare documentation for audits and regulatory reviews. Success in this position requires a strong analytical background and the ability to create effective monitoring systems.

The salary for this role ranges from $148,835 to $175,100, depending on location.

Skills that matter here

• data science: This role requires a solid background in data science to evaluate and improve compliance models.
• model risk: Experience in model risk is essential for assessing the performance and stability of compliance models.
• quantitative analytics: Quantitative analytics skills will be used to design and execute testing protocols for compliance models.
• data engineering: You will leverage data engineering skills to develop and maintain pipelines for monitoring compliance-critical data.
• SQL: Advanced SQL skills are needed to write and troubleshoot production-quality data pipelines.
• Python: Python will be used for building monitoring dashboards and executing data quality checks.

Who this role suits

• Candidates should have a strong analytical mindset and be comfortable working in high-pressure environments.
• You thrive in a collaborative setting and are willing to engage in intensive in-person sessions quarterly.
• A background in financial services or fintech is preferred, especially within regulated contexts.
• You are detail-oriented and capable of producing documentation that meets rigorous standards.

From the employer

Responsibilities

• Design and execute quantitative testing for AI and ML models before and after launch, including input data quality testing, variance and stability testing, and performance testing for agentic and LLM-based systems.
• 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.
• Write production-quality SQL and Python pipelines, diagnosing and fixing pipeline bugs and leading data migrations that support external regulatory reporting.
• Build detective monitoring scenarios that test whether compliance controls are working.
• Prepare testing evidence, model documentation, and walkthroughs for Internal Audit, model validators, and regulators.

Requirements

• 4+ years of experience in data science, model risk, quantitative analytics, or data engineering, ideally in financial services, fintech, or another regulated setting.
• Strong grounding in applied statistics with hands-on experience evaluating ML models.
• Advanced SQL and Python skills with experience building monitoring dashboards and working in cloud data environments.
• Demonstrated ability to write testing and model documentation that withstands independent review.

Conditions

• Base salary varies by location: $148,835—$175,100 USD.
• Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer.