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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.  

About the Opportunity

The OKX Central Risk function is responsible for overall risk management covering financial risk, enterprise risk, operational risk, fraud risk, quantitative model development, and model validation. We’re deeply committed to the top risk standards of the crypto industry, protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices. This is a critical senior-level role within our Model Risk Management team responsible for the independent validation of models for Anti-Money Laundering (AML), Sanctions Screening, Know Your Customer (KYC), and other financial crime-related methodologies and controls. The ideal candidate will possess a combination of deep expertise in traditional financial institution model governance and cutting-edge knowledge of blockchain analytics and crypto-specific financial crime methodologies. Must be a strong problem-solver with excellent programming skills, a deep understanding of quantitative methods, and a passion for applying mathematical modeling to solve financial crime-related problems. This position will be based in the United States (New York City, NY preferred).

  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!

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 $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.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.