Senior Associate, Compliance Model Governance
The Senior Associate, Compliance Model Governance at Coinbase plays a pivotal role within the Compliance team, focusing on the quantitative testing, monitoring, and data quality of AI and statistical models that underpin Coinbase's financial crime compliance programs, including transaction monitoring models. This position serves as a bridge between Compliance, Data Science, and Engineering, ensuring that all models in production are robust, reliable, and defensible during internal audits and regulatory examinations.
In this role, you will design and execute quantitative tests for AI and machine learning models both pre- and post-launch. This includes assessing input data quality, conducting variance and stability tests, and evaluating performance for agentic and large language model-based systems. You will also build and maintain monitoring pipelines and dashboards to track model inputs, outputs, and downstream outcomes, applying statistical tests to detect drift and degradation. Additionally, you will own data lineage for compliance-critical data elements, design data quality checks, and collaborate with Engineering to trace data from source systems to control consumption. Writing production-quality SQL and Python pipelines, diagnosing and fixing pipeline bugs, and leading data migrations that support external regulatory reporting are also key responsibilities. Furthermore, you will prepare testing evidence, model documentation, and walkthroughs for Internal Audit, model validators, and regulators, responding to findings and tracking remediation to closure.
Candidates should have over four years of experience in data science, model risk, quantitative analytics, or data engineering, preferably within financial services, fintech, or another regulated setting. A strong grounding in applied statistics, including hypothesis testing, drift and stability measures, sampling, and confidence intervals, is essential. Hands-on experience evaluating machine learning models, particularly large language model-based or agentic systems, is required. Advanced skills in SQL and Python, with experience building monitoring dashboards and working in cloud data environments such as Snowflake or Databricks, are necessary. Experience with data lineage tracing and data-quality rule design is also important. The ability to produce documentation that withstands independent review and to communicate technical results clearly to non-technical compliance stakeholders and auditors is crucial. Utilizing generative AI responsibly, maintaining human oversight to deliver business-ready outputs, and driving measurable improvements in workflow efficiency, cost, and quality are also key aspects of the role.
The compensation for this position includes an annual base salary ranging from $148,835 to $175,100 USD, excluding equity and bonus. Total compensation may also include equity and bonus eligibility. Benefits encompass medical, dental, vision, and 401(k) plans.
Coinbase is a remote-first company, emphasizing a high-performance culture that encourages pushing beyond perceived limits. Employees are expected to engage in quarterly in-person working sessions called “surges.” This environment is intense and fast-paced, aiming to build the future of finance alongside individuals who refuse to settle for mediocrity.
This role offers an opportunity to make a significant impact within a leading cryptocurrency exchange, contributing to the integrity and security of financial transactions globally. By ensuring the robustness of compliance models, you will play a crucial part in maintaining trust and compliance within the rapidly evolving digital asset landscape.