Internal Audit Model Risk Lead

Are you ready to challenge your limits and make a significant impact? At Coinbase, we are driven by a mission to enhance economic freedom globally. This ambitious endeavor requires our best efforts every day as we create the next-generation onchain platform and redefine the global financial landscape. We are looking for a special candidate who is not only passionate about our mission but also recognizes the transformative potential of cryptocurrency and blockchain technology. If you thrive on high-pressure situations, enjoy collaborating with top-tier colleagues, and constantly seek feedback for personal growth, then this could be the perfect opportunity for you. We want someone who actively engages in solving our most challenging issues. Our work environment is dynamic and might not suit everyone. However, if you aspire to shape the future alongside a talented team that holds high expectations, there's no better place than Coinbase. While many roles here are remote-friendly, we emphasize the importance of in-person collaboration throughout the year. Team-building and company-wide offsites are scheduled several times a year to strengthen relationships and ensure alignment. Participation is encouraged and fully supported. The Internal Audit team at Coinbase operates independently, reporting directly to the Audit Committee. Our mission is to objectively evaluate and improve governance, compliance, risk management, and control processes. You will be an integral part of this team, responsible for strategic analysis, risk assessments, and auditing across IT and business functions—ultimately contributing to our leadership in the industry. Your Responsibilities: Lead the creation of advanced model audit practices within our global internal audit function, focusing on the integrity of the algorithms that drive the business. Ensure thorough execution of the audit plan through technical model validations and model risk audits, covering independent replication, code reviews, and performance assessments. Oversee the validation of essential Financial Crime Compliance models, ensuring they meet global regulatory standards. Assess management's responses to audit findings, validating complex remediation efforts involving data lineage and algorithm adjustments. Prepare detailed technical audit reports for an executive audience, translating complex quantitative concepts into actionable insights. Support the preparation of materials regarding the Model Risk portfolio for the Audit Committee and Board of Directors. Cultivate trusted relationships with Data Science, Engineering, Product, and Compliance teams to enhance model governance. Collaborate with first and second lines of defense to optimize testing efficiencies and ensure thorough coverage of the model inventory. Act as an advisory partner to identify opportunities for enhancing model precision and operational performance while maintaining objectivity. What You Bring: A bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering, or a related quantitative field. 8+ years of experience, with a minimum of 5 years in Model Risk Management, Model Validation, or Quantitative Audit in financial services or fintech. In-depth knowledge of Financial Crime models, including AML Transaction Monitoring and Fraud detection methodologies. Strong programming skills in languages such as Python, R, SQL, or SAS, with the ability to review and analyze code. Understanding of the model development lifecycle and internal controls related to data governance and model implementation. Proven project management expertise to handle multiple complex validations and deadlines. Analytical and problem-solving skills with a commitment to high-quality standards. Excellent communication abilities, with the skill to convey technical details to non-technical stakeholders. Experience in leading and managing technical teams. Familiarity with auditing machine learning/AI models and AI governance frameworks. Preferred Qualifications: Advanced Degree (Masters or PhD) in a quantitative discipline. Experience in fast-paced or high-growth technology environments. An entrepreneurial mindset with the capacity to adapt to the complexities of a rapidly evolving startup. Knowledge of cryptocurrency and blockchain analytics, understanding the specific risks associated with modeling in this space. Professional certifications like FRM, PRM, or CAMS-FCI. Experience in auditing machine learning/AI models and familiarity with related governance frameworks. Job #: P75549 Pay Transparency Notice: The target annual salary for this position ranges from $193,970 to $228,200, in addition to bonuses, equity, and comprehensive benefits (including medical, dental, vision, and 401(k)). Please note, each candidate may submit a maximum of four applications within a 30-day period, so we encourage you to evaluate how your skills align with Coinbase's opportunities. Equal Opportunity Commitment: Coinbase is an Equal Opportunity Employer. We welcome qualified applicants without regard to race, color, religion, gender, national origin, age, disability, or any other protected status. We also consider individuals with criminal histories for employment in compliance with applicable laws. For U.S. applicants, the Employee Rights and the Know Your Rights notices are available for review. Coinbase is dedicated to providing reasonable accommodations for individuals with disabilities. If you need assistance during the application process, please reach out to us to describe your needs. Global Data Privacy Notice for Job Candidates: Depending on your location, data protection laws may regulate how we manage application data. Our full notice on data processing for applicants is available for review. By submitting your application, you consent to our data use as required. Applicants in the U.S. agree to arbitration of disputes as outlined. AI Disclosure: For select roles, Coinbase is using AI tools for preliminary candidate screenings. Human recruiters will review your responses in the application process.

Created: 2026-03-06