Senior Data Scientist, OKX
Compliance Technology
$143-214k
Salary applicable top candidates based in CA, NY, NJ and may differ on location
Cryptocurrency trading app
Be an early applicant
Cryptocurrency trading app
1001+ employees
Be an early applicant
$143-214k
Salary applicable top candidates based in CA, NY, NJ and may differ on location
1001+ employees
Company mission
To eliminate financial barriers, evolve the global economy, and change the world for better.
Role
Who you are
- 7+ years of hands-on experience in data science, machine learning, or advanced analytics, ideally in the FCC, AML, KYC, or fraud detection domain
- Proven experience building and validating data models using programming languages such as Python, SQL, Java, R, or similar
- Strong skills in data engineering, large-scale data pipelines, ETL/ELT processes, and streaming analytics (Spark, Kafka, Snowflake, or equivalent)
- Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and understanding of on-chain transaction monitoring is highly desirable
- Experience with building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening
- Solid background in building and maintaining scalable data pipelines, streaming analytics, and working with large, complex datasets
- Experience deploying models into production environments, working with containerization (e.g., Docker, Kubernetes) and cloud data tools
- Solid understanding of typology detection, false positive/negative tuning, and regulatory model validation expectations
- Strong background in data visualization and reporting using BI tools (Tableau, Looker, Power BI, or similar)
- Excellent communication skills to present complex technical findings and recommendations to diverse stakeholders
- Proven ability to work independently in a fast-paced, cross-functional environment
What the job involves
- As a Senior Data Scientist in our Compliance Technology & Data Strategy function, you will play a key role in shaping our approach to governance, independent validation, and continuous improvement of our financial crime compliance (FCC) systems and data platforms
- You will lead the design, testing, validation, and monitoring of advanced models and data pipelines that support our transaction monitoring (TM), customer risk rating (CRR), and watchlist screening engines across both fiat and crypto ecosystems
- 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 our systems remain robust and defensible in an evolving regulatory landscape
- This is a highly technical, cross-functional role requiring strong programming, data engineering, and advanced analytics skills, along with an understanding of FCC domain risks
- You’ll partner closely with Compliance, Product, Engineering, and Risk teams to modernize our compliance technology stack, drive improvements in data pipelines and model explainability, and integrate cutting-edge blockchain intelligence and cross-chain analytics tools
- Your work will directly impact our ability to detect and mitigate financial crime risks, meet regulatory expectations, and deliver trusted insights across our global operations
- 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 both 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 to enhance risk detection
- Develop and execute robust testing strategies to assess model fitness, typology coverage, Type I and Type II error rates, and regulatory defensibility
- Design strategies to automate monitoring frameworks for model performance, data quality, and risk typology drift; implement advanced analytics to detect anomalies and continuously tune models
- Lead the development and execution of comprehensive metrics and data reporting frameworks, ensuring the accuracy, consistency, and timeliness of key risk indicators, model performance metrics, and regulatory reporting requirements across all FCC models
- Build reproducible and production-ready notebooks, scripts, and workflows following best practices in version control, code testing, and documentation
- Leverage advanced anomaly detection techniques, clustering, and graph analytics to identify emerging financial crime typologies across large multi-source datasets
- Conduct deep-dive data investigations, develop new detection typologies, and translate FCC risk scenarios into effective, explainable models and analytics
- Partner with Product and Engineering to drive enhancements to compliance data architecture, including streaming pipelines, data integrations, and advanced analytics capabilities
- Lead remediation of data quality and model coverage gaps by executing data audits and root cause analysis; maintain thorough documentation and audit trails for regulatory readiness
- Deploy containerized data science workflows and collaborate with engineering teams to integrate models seamlessly into production environments (e.g., using Docker, Kubernetes, or cloud pipelines)
- Contribute to developing reusable data science tools, libraries, or model templates that improve the speed and consistency of future compliance analytics work
- Stay current on regulatory expectations and industry best practices for model governance, validation, and development (NYDFS, FATF, HKMA, MAS, FCA, etc.)
- Produce clear, actionable reports and data visualizations to communicate findings to technical and non-technical stakeholders
- Proactively research and experiment with new open-source tools and techniques that could enhance our FCC model governance and analytics capability
Our take
While cryptocurrency holds the promise of freedom in personal finances and the possibility of large financial rewards through trading, it can be intimidating to get started. OKX, a long-standing crypto currency exchange, exists to solve that problem, removing the knowledge barriers to cryptocurrency trading with an easy-to-use, all in one platform.
OKX is one of the larger cryptocurrency exchanges, though it is a bit smaller than the market leaders Binance and Coinbase Exchange. Where it shines is in the sheer range of its services, which are designed to be versatile enough for any user, ranging from a crypto exchange to NFT and decentralised finance investment products. With a reputation for security and reliability, it has a user base of over 50+ million active accounts in over 180 countries.
OKX is using its structural position in cryptomarkets to help support the entire sector, announcing a market recovery fund to protect crypto firms facing collapse following the FTX crisis. Additionally, it is expanding into Web3 gaming with a 2023 partnership with Thirdverse, further increasing the scope of its offering to its client base. As long as it can continue to weather the tough market conditions for cryptocurrency, it should maintain its excellent position to continue its growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
65% employee growth in 12 months
Company
Company benefits
- Comprehensive insurance package including medical, dental, vision, disability & life insurance.
- Paid Parental Leave
- Employee Referral Bonus Program paid in BTC
- More surprises when you join!
Leadership
Star Xu
(Founder & CEO)Previously an Engineer at Yahoo before becoming the Chief Technology Officer at DocIn. They later founded OKX and has recently reclaimed the title of CEO
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