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Senior Data Scientist, Compliance Technology

1 month ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark Docker Git Java Kafka Kubernetes Looker Machine Learning Power BI Python R Snowflake SQL Tableau
Apply Now
OKX

OKX

OKX operates as a leading cryptocurrency exchange, providing users with a platform to buy, sell, and trade various digital assets such as Bitcoin, Ethereum, and XRP, while also offering tools for exploring Web3, decentralized finance (DeFi), and non-fu...

Diversified Financial Services
1K-5K
Founded 2017
View All Jobs 5

Description

  • 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 that integrate blockchain analytics, on-chain and off-chain transaction data, and third-party intelligence to improve risk detection.
  • Develop and execute testing strategies to assess model fitness, typology coverage, Type I/Type II error rates, and regulatory defensibility.
  • Design and implement automated monitoring frameworks for model performance, data quality, and risk typology drift, and apply advanced analytics to detect anomalies and tune models continuously.
  • Lead the development and execution of metrics and reporting frameworks to ensure accuracy, consistency, and timeliness of key risk indicators, model performance metrics, and regulatory reporting.
  • Build reproducible, production-ready notebooks, scripts, and workflows following best practices in version control, testing, and documentation.
  • Leverage anomaly detection, 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 explainable models and analytics.
  • Partner with Product and Engineering to enhance compliance data architecture, including streaming pipelines, data integrations, and deployment of containerized workflows (e.g., Docker, Kubernetes).
  • Lead remediation of data quality and model coverage gaps through data audits, root cause analysis, and maintaining documentation and audit trails for regulatory readiness.

Requirements

  • 7+ years of hands-on experience in data science, machine learning, or advanced analytics, ideally in FCC, AML, KYC, or fraud detection domains.
  • Proven experience building and validating data models using languages such as Python, SQL, Java, R, or similar.
  • Strong skills in data engineering, large-scale data pipelines, ETL/ELT processes, and streaming analytics (e.g., Spark, Kafka, Snowflake or equivalent).
  • Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and an understanding of on-chain transaction monitoring (highly desirable).
  • Experience building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening.
  • Experience deploying models into production environments and working with containerization and cloud data tools (e.g., Docker, Kubernetes).
  • Solid understanding of typology detection, false positive/negative tuning, and regulatory model validation expectations (NYDFS, FATF, HKMA, MAS, FCA, etc.).
  • Strong background in data visualization and reporting using BI tools (Tableau, Looker, Power BI, or similar).
  • Excellent communication skills to present complex technical findings to technical and non-technical stakeholders.
  • Proven ability to work independently in a fast-paced, cross-functional environment and proactively research new tools and techniques.

Benefits

  • Competitive total compensation package.
  • Salary range for CA/NY/NJ: $143,000–$214,000 (adjusted for other US states).
  • Performance bonus and potential long-term incentives as part of the compensation package.
  • Comprehensive healthcare schemes for employees and dependents.
  • Learning & development programs and education subsidy for employee growth.
  • Various team-building programs and company events.

Interested in this position?

Apply directly on the company website

Apply Now

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