Senior Associate, Compliance Model Governance
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Job Description
Senior Associate governing AI and statistical models for Coinbase’s financial crime compliance programs. Building quantitative tests, monitoring pipelines, and data-quality controls for regulated reporting.
Responsibilities:
- Own quantitative testing, monitoring, and data quality for AI and statistical models powering financial crime compliance programs
- Design and execute pre-launch and post-launch quantitative testing for AI and ML models
- Perform input data quality, variance, stability, and performance testing for agentic and LLM-based systems
- Produce documentation suitable for independent model validation and regulatory examination
- Build and maintain monitoring pipelines and dashboards tracking model inputs, outputs, and downstream outcomes
- Apply statistical tests to detect model drift and degradation
- Deliver model health readouts to model owners and Compliance leadership
- Own data lineage for compliance-critical data elements
- Design data quality checks and partner with Engineering to trace data from source systems to control consumption
- Write production-quality SQL and Python pipelines
- Diagnose and fix pipeline bugs and lead data migrations supporting external regulatory reporting
- Build detective monitoring scenarios to test compliance controls and validate underlying SQL logic
- Prepare testing evidence, model documentation, and walkthroughs for Internal Audit, model validators, and regulators
- Respond to findings and track remediation to closure
- Collaborate across Compliance, Data Science, and Engineering
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, including hypothesis testing, drift and stability measures, sampling, and confidence intervals
- Hands-on experience evaluating ML models, including LLM-based or agentic systems
- Advanced SQL and Python skills
- Experience building monitoring dashboards and working in cloud data environments such as Snowflake or Databricks
- Experience with data lineage tracing and data quality rule design
- Ability to write testing and model documentation that withstands independent review
- Ability to communicate technical results clearly to non-technical compliance stakeholders and auditors
- Responsible use of generative AI with human oversight
- Eligible to work in the United States, as indicated by the “Remote - USA” location and US applicant notices
Benefits:
- Equity eligibility
- Bonus eligibility
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Quarterly in-person working sessions (“surges”)
- Reasonable accommodations for individuals with disabilities
- Free compatible screen reader available for applicants needing screen-reading technology
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