Senior Model Risk Quant Manager

• Lead independent quantitative validation of FinCrime, AML, AI/ML, and Generative AI models across OKX.
• Perform conceptual soundness and data integrity reviews — assess model theory, methodology, assumptions, data quality, lineage, and applicability to crypto-specific risk typologies.
• Perform quantitative model performance testing — back-testing, sensitivity analysis, threshold tuning, drift detection, and outcomes analysis — with additional fairness, explainability, and adversarial robustness assessments for AI/ML models.
• Apply effective challenge to 1LOD model owners and developers; document validation findings, model limitations, and required remediations.
• Author validation reports suitable for governance committees and regulatory inspections.
• Track validation findings through remediation closure; participate in annual and triggered revalidation cycles; contribute to and maintain the enterprise Model Inventory (entry, classification, materiality assessment).
• Ensure validations meet OKX's Global Model Risk Policy and applicable global regulatory obligations — including AI governance frameworks where ML/AI components apply.
• Contribute to the build-out of validation playbooks, model inventory standards (including AI/ML risk tiering), and operational frameworks — includingsuch as OKX's AI Governance framework — under the direction of the Global Head of MRM.
• Partner with model developers / owners, Compliance, Tech, Internal Audit, and Legal — while preserving organizational independence from model development.

• Master's or Ph.D. in Quantitative Finance, Statistics, Mathematics, Econometrics, Computer Science, or another quantitative field — or equivalent depth of professional experience.
• 8+ years of relevant quantitative experience, of which at least 3 years in independent model validation (2LOD) at a financial institution, fintech, or crypto firm.
• Demonstrated experience validating risk models — such as credit, market, FinCrime, fraud, or AML.
• Hands-on experience validating statistical, machine learning, AI/ML, and Generative AI models — hypothesis testing, performance benchmarking, fairness testing, drift detection, explainability, and adversarial robustness.
• Working knowledge of MRM and AI governance frameworks — SR 11-7 / SR 26-2, EU AI Act, US Treasury FS AI RMF, NIST AI RMF, or equivalent.
• Strong programming proficiency in Python, SQL, and R.
• Experience with cloud / big-data platforms — BigQuery, Snowflake, Databricks, Hadoop/Hive, MaxCompute, or equivalent.
• Excellent written and verbal communication — capable of authoring formal validation reports and presenting findings to senior risk committees, regulators, and external auditors.

• Experience working with crypto exchanges, DeFi platforms, or blockchain analytics firms.
• Hands-on experience with AML / FinCrime model validation techniques.
• Hands-on experience with on-chain analytics tooling — Chainalysis, TRM Labs, Elliptic, or equivalent. Experience validating crypto-native risk models.
• Professional certifications: CFA, FRM, CAMS, CCAS (one or more).
• Familiarity with smart contract risk analysis, DeFi protocol risk, and stablecoin flows.
• Experience with Generative AI / Agentic AI model validation under emerging US Treasury FS AI RMF and NIST AI RMF guidance.

• Reports to: Global Head of Model Risk Management.
• Location: Singapore or Hong Kong.
• Travel: occasional, primarily to OKX hub offices.

Equal Opportunity Employer

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