- Senior
- Office in New York City
Who We Are
About the Opportunity
What You’ll Be Doing
- Develop and lead the execution of a comprehensive, independent model validation program for all financial crimes risk models across OKX's global platforms
- Conduct in-depth reviews of model design, data quality, conceptual soundness, implementation accuracy, and ongoing performance for a suite of financial crimes models.
- Validate both traditional (transaction monitoring, sanctions screening, fraud detection systems) and crypto-native modeling-methods (blockchain analytics, wallet monitoring, etc).
- Review model performance and design and conduct independent model testing, stress testing, and benchmarking to specifics of the model’s type, implementation and usage.
- Research and integrate advanced statistical techniques, machine learning, and stress testing scenarios into the validation framework to assess model robustness against emerging financial crime threats.
- Maintain documentation and support model governance in accordance with internal policies and regulatory expectations. Assist on periodic model performance review or revalidation.
- Prepare and present clear, impactful validation findings, limitations, and recommendations to the Executive Risk Committee, Compliance Leadership, and Internal Audit.
What We Look For In You
- Advanced Degree (MsC or Ph.D.) in a highly quantitative field such as Statistics, Mathematics, Physics, Computer Science, or Engineering.
- Deep domain expertise of global AML regulations, sanctions regimes (OFAC, UN, EU), and their practical application within both traditional finance and crypto environments.
- Significant experience gained working with large, complex financial institutions (e.g. Tier 1 Bank, Fintech/Payment provider) is essential, demonstrating mastery of traditional model governance principles.
- Strong knowledge of machine learning techniques, financial modeling and statistical techniques in Finance (TradFi or crypto). Hands-on experience with stochastic calculus and numerical methods in pricing and risk models.
- Proficiency in programming languages such as C, C++, Java, Python or equivalent. Experience with data handling and statistical analysis (e.g., pandas, NumPy, scikit-learn, SQL).
- Exceptional ability to lead discussions with model developers, effectively challenge assumptions, and clearly communicate complex findings to both technical quants and non-technical senior executives.
Nice to Haves
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
- The salary range for this position is $140,000 - $300,000
- The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.