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 highly skilled Model Validation Analyst to assess and validate a wide range of models critical to the crypto industry, including (but not limited to) AML transaction monitoring models, and fraud/financial crime detection models . This role ensures that models operate effectively, mitigate risk, and align with regulatory requirements and evolving industry best practices. The ideal candidate should have a strong quantitative background. Experience in crypto risk modeling and a deep understanding of blockchain-based financial systems are a plus. Key Responsibilities: Model Validation & Risk Assessment Independently validate transaction monitoring and Fraud/Financial Crime detection according to regulatory specifications. Assess model assumptions, methodologies, data integrity, and implementation. Evaluate model performance through back-testing or stress testing . Governance & Compliance Ensure models comply with crypto regulatory frameworks (e.g., MiCA, BSA/ AML regulations, and other jurisdictional requirements) . Document validation findings, model limitations, and recommendations for risk mitigation. Collaborate with compliance, risk, and relevant stakeholders to ensure remediations are implemented and maintain robust model governance. Qualifications: Master’s or Ph.D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or other quantitative fields . Strong knowledge of machine learning techniques, financial modeling and statistical techniques in Finance (TradFi or crypto). 5 years or more experience   Hands-on experience with database query (e.g. SQL) and/or cloud technologies such as Hadoop, Hive, MaxCompute, Google BigQuery, or equivalent platforms. Proficiency in programming languages such as C, C++, Java, Python or equivalent. Strong communication skills to present complex findings to both technical and non-technical stakeholders. Preferred Qualifications: Experience working with crypto exchanges, DeFi platforms, or blockchain analytics firms . Understanding of on-chain and off-chain transaction monitoring, crypto-specific fraud detection, and market manipulation risks . Familiarity with AML and regulatory compliance concepts and monitoring systems, including the application of blockchain analytics to support these areas in crypto space. Familiarity with smart contract risk analysis and DeFi protocol risk assessment .