Senior Associate, Compliance Model Governance

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of quantitative testing, monitoring, and data quality for AI and statistical models that support financial crime compliance initiatives.

• Design and carry out quantitative testing before and after the launch of AI and ML models.

• Conduct input data quality assessments, variance, stability, and performance evaluations for agentic and LLM-based systems.

• Produce documentation that meets the standards for independent model validation and regulatory scrutiny.

• Develop and maintain monitoring pipelines and dashboards that track model inputs, outputs, and subsequent outcomes.

• Utilize statistical tests to identify model drift and degradation.

• Provide model health reports to model owners and Compliance leadership.

• Manage data lineage for compliance-critical data elements.

• Design data quality checks and collaborate with Engineering to trace data from source systems to control consumption.

• Write high-quality SQL and Python pipelines.

• Diagnose and resolve pipeline issues and oversee data migrations that support external regulatory reporting.

• Create monitoring scenarios to test compliance controls and validate the underlying SQL logic.

• Prepare testing evidence, model documentation, and walkthroughs for Internal Audit, model validators, and regulatory bodies.

• Address findings and ensure remediation is tracked to completion.

• Collaborate effectively with teams across Compliance, Data Science, and Engineering.

⛳️ Requirements

• Minimum of 4 years of experience in data science, model risk, quantitative analytics, or data engineering, preferably in financial services, fintech, or another regulated environment.

• Strong foundation in applied statistics, encompassing hypothesis testing, drift and stability measures, sampling, and confidence intervals.

• Practical experience in evaluating ML models, including LLM-based or agentic systems.

• Proficient in SQL and Python.

• Experience in developing monitoring dashboards and working within cloud data platforms such as Snowflake or Databricks.

• Knowledge of data lineage tracing and the design of data quality rules.

• Ability to produce testing and model documentation that can withstand independent review.

• Skill in communicating technical results clearly to non-technical compliance stakeholders and auditors.

• Responsible use of generative AI with necessary human oversight.

• Must be eligible to work in the United States, as indicated by the “Remote - USA” location and US applicant notices.

🏝️ Benefits

• Eligibility for equity.

• Eligibility for bonuses.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• 401(k) retirement plan.

• Quarterly in-person working sessions, referred to as “surges.”

• Reasonable accommodations available for individuals with disabilities.

• Free compatible screen reader provided for applicants requiring screen-reading technology.