Senior Model Risk Quant Manager (FinCrime AML) at OKX (Hong Kong )

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

Job Overview:

We are seeking a Senior Model Risk Quant Manager to join OKX's Model Risk Management (MRM) function. As OKX's second line of defense (2LOD), this role independently validates FinCrime, AML, and AI/ML models that are core to OKX's regulatory compliance globally — and contributes to the build-out of OKX's enterprise AI Governance framework under the direction of the Global Head of MRM.

The role spans: (1) independent quantitative validation of FinCrime and AML models, including their machine-learning sub-components; (2) validation of AI/ML and Generative AI applications across OKX; and (3) supporting the Global Head of MRM in operationalizing validation playbooks, model inventory standards, and AI Governance frameworks. The ideal candidate combines deep quantitative rigor with hands-on experience in both financial crime model validation and AI/ML model governance — preferably with crypto-specific domain knowledge.

Key Responsibilities:

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 — including 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.

Qualifications:

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.

Preferred Qualifications:

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.

Reporting and Location

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

Equal Opportunity Employer

OKX is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome qualified applicants regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, or any other legally protected characteristic.

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Senior Model Risk Quant Manager (FinCrime AML)

Job Description