Senior Associate, Compliance Technology
Build and maintain compliance datasets, data models, ETL pipelines, and measurement frameworks to power BSA/AML detection, monitoring, and controls at Coinbase. Requires 5+ years analytics/data engineering experience, advanced SQL, Python, dbt/Airflow, and regulated environment background.
About the job
What you'll do
- Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems.
- Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready.
- Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets.
- Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-actionable noise while protecting sensitivity, and defining success metrics for controlled rollouts.
- Execute measurement frameworks for compliance control effectiveness, including coverage, timeliness, stability, and outcome-based metrics, and build repeatable reporting pipelines consumable by Compliance leaders, operations teams, and auditors.
Required skills and experience
- Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
- Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
- Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
- Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
- Python skills applied to automation, pipeline development, and data analysis.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Skills
SQL, Python, dbt, Airflow, ETL, ELT, Data Modeling, Data Quality, Analytics Engineering, Generative AI
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