OKX
Senior Data Scientist, Compliance Technology
OKX, San Francisco, California, United States, 94199
Overview
Senior Data Scientist, Compliance Technology at OKX. This role sits in the Compliance Technology & Data Strategy function and focuses on governance, independent validation, and continuous improvement of financial crime compliance (FCC) systems and data platforms across fiat and crypto ecosystems. About the Opportunity
You will lead the design, testing, validation, and monitoring of advanced models and data pipelines supporting transaction monitoring (TM), customer risk rating (CRR), and watchlist screening engines. You will work hands-on with large, complex datasets, building and validating rule-based and ML-enhanced models, developing new typology detection logic, and ensuring systems remain robust in a changing regulatory landscape. This is a technical, cross-functional role requiring strong programming, data engineering, and advanced analytics skills along with FCC domain knowledge. You will partner with Compliance, Product, Engineering, and Risk teams to modernize our compliance technology stack, improve data pipelines and model explainability, and integrate blockchain intelligence and cross-chain analytics tools. Your work will impact the ability to detect and mitigate financial crime risks, meet regulatory expectations, and deliver trusted insights globally. What You’ll Be Doing
Design, test, and independently validate rule-based and machine learning models for transaction monitoring, customer risk scoring, sanctions and watchlist screening, and typology detection for fiat and crypto transactions Build and optimize scalable data pipelines integrating blockchain analytics, on-chain and off-chain transaction data, and third-party intelligence tools Develop and execute robust testing strategies to assess model fitness, typology coverage, error rates, and regulatory defensibility Automate monitoring frameworks for model performance, data quality, and risk typology drift; apply advanced analytics to detect anomalies and tune models Lead the development and execution of metrics and data reporting frameworks for risk indicators, model performance, and regulatory reporting across FCC models Build reproducible, production-ready notebooks, scripts, and workflows with best practices in version control, testing, and documentation Leverage anomaly detection, clustering, and graph analytics to identify emerging financial crime typologies across multiple data sources Conduct deep-dive data investigations, develop new detection typologies, and translate FCC risk scenarios into explainable models Collaborate with Product and Engineering to enhance compliance data architecture, including streaming pipelines and data integrations Remediate data quality and model coverage gaps through data audits and root-cause analyses; maintain thorough documentation for regulatory readiness Deploy containerized data science workflows and work with engineering to integrate models into production (e.g., Docker, Kubernetes, cloud pipelines) Contribute to reusable data science tools, libraries, or model templates to improve future compliance analytics Stay current on regulatory expectations and best practices for model governance, validation, and development (NYDFS, FATF, HKMA, MAS, FCA, etc.) Produce clear, actionable reports and data visualizations for technical and non-technical stakeholders Research and experiment with open-source tools and techniques to enhance FCC model governance and analytics What We Look For In You
7+ years of hands-on experience in data science, ML, or advanced analytics, ideally in FCC, AML, KYC, or fraud detection Proven experience building and validating data models using Python, SQL, Java, R, or similar Strong skills in data engineering, large-scale pipelines, ETL/ELT, and streaming analytics (Spark, Kafka, Snowflake, or equivalent) Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and on-chain transaction monitoring Experience building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening Experience deploying models to production, with containerization (Docker, Kubernetes) and cloud data tools Understanding of typology detection, false positive/negative tuning, and regulatory model validation Strong data visualization and reporting skills (Tableau, Looker, Power BI, or similar) Excellent communication to present complex findings to stakeholders Ability to work independently in a fast-paced, cross-functional environment OKX Statement
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000. The salary offered depends on factors including job-related knowledge, skills, experience, and market location. In addition to salary, a performance bonus, long-term incentives, and a full range of medical, financial, and other benefits may be provided. Applicants should apply via the OKX internal or external careers site. OKX is an equal opportunity employer. Information collected during the recruitment process is subject to OKX's Candidate Privacy Notice.
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Senior Data Scientist, Compliance Technology at OKX. This role sits in the Compliance Technology & Data Strategy function and focuses on governance, independent validation, and continuous improvement of financial crime compliance (FCC) systems and data platforms across fiat and crypto ecosystems. About the Opportunity
You will lead the design, testing, validation, and monitoring of advanced models and data pipelines supporting transaction monitoring (TM), customer risk rating (CRR), and watchlist screening engines. You will work hands-on with large, complex datasets, building and validating rule-based and ML-enhanced models, developing new typology detection logic, and ensuring systems remain robust in a changing regulatory landscape. This is a technical, cross-functional role requiring strong programming, data engineering, and advanced analytics skills along with FCC domain knowledge. You will partner with Compliance, Product, Engineering, and Risk teams to modernize our compliance technology stack, improve data pipelines and model explainability, and integrate blockchain intelligence and cross-chain analytics tools. Your work will impact the ability to detect and mitigate financial crime risks, meet regulatory expectations, and deliver trusted insights globally. What You’ll Be Doing
Design, test, and independently validate rule-based and machine learning models for transaction monitoring, customer risk scoring, sanctions and watchlist screening, and typology detection for fiat and crypto transactions Build and optimize scalable data pipelines integrating blockchain analytics, on-chain and off-chain transaction data, and third-party intelligence tools Develop and execute robust testing strategies to assess model fitness, typology coverage, error rates, and regulatory defensibility Automate monitoring frameworks for model performance, data quality, and risk typology drift; apply advanced analytics to detect anomalies and tune models Lead the development and execution of metrics and data reporting frameworks for risk indicators, model performance, and regulatory reporting across FCC models Build reproducible, production-ready notebooks, scripts, and workflows with best practices in version control, testing, and documentation Leverage anomaly detection, clustering, and graph analytics to identify emerging financial crime typologies across multiple data sources Conduct deep-dive data investigations, develop new detection typologies, and translate FCC risk scenarios into explainable models Collaborate with Product and Engineering to enhance compliance data architecture, including streaming pipelines and data integrations Remediate data quality and model coverage gaps through data audits and root-cause analyses; maintain thorough documentation for regulatory readiness Deploy containerized data science workflows and work with engineering to integrate models into production (e.g., Docker, Kubernetes, cloud pipelines) Contribute to reusable data science tools, libraries, or model templates to improve future compliance analytics Stay current on regulatory expectations and best practices for model governance, validation, and development (NYDFS, FATF, HKMA, MAS, FCA, etc.) Produce clear, actionable reports and data visualizations for technical and non-technical stakeholders Research and experiment with open-source tools and techniques to enhance FCC model governance and analytics What We Look For In You
7+ years of hands-on experience in data science, ML, or advanced analytics, ideally in FCC, AML, KYC, or fraud detection Proven experience building and validating data models using Python, SQL, Java, R, or similar Strong skills in data engineering, large-scale pipelines, ETL/ELT, and streaming analytics (Spark, Kafka, Snowflake, or equivalent) Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and on-chain transaction monitoring Experience building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening Experience deploying models to production, with containerization (Docker, Kubernetes) and cloud data tools Understanding of typology detection, false positive/negative tuning, and regulatory model validation Strong data visualization and reporting skills (Tableau, Looker, Power BI, or similar) Excellent communication to present complex findings to stakeholders Ability to work independently in a fast-paced, cross-functional environment OKX Statement
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000. The salary offered depends on factors including job-related knowledge, skills, experience, and market location. In addition to salary, a performance bonus, long-term incentives, and a full range of medical, financial, and other benefits may be provided. Applicants should apply via the OKX internal or external careers site. OKX is an equal opportunity employer. Information collected during the recruitment process is subject to OKX's Candidate Privacy Notice.
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