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Sr Data Scientist, Risk Strategy

OKX

Role at a glance

Category
Risk
Work arrangement
On-site
Location
San Jose, California
Salary range
$223,661 to $268,333
Posted
Jun 22, 2026
Apply for this roleApplications go directly to OKX
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OKX is hiring a Sr Data Scientist, Risk Strategy in San Jose, California. This is a Risk role in the governance, risk, and compliance field, with a posted range of $223,661 to $268,333. Review the full details below and apply directly with OKX.

ace-line old-record-id- Who We Are ace-line old-record-id- ace-line old-record-id- 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. ace-line old-record-id- ace-line old-record-id- ace-line old-record-id- About the Opportunity: ace-line old-record-id- ace-line old-record-id- The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. ace-line old-record-id- An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. ace-line old-record-id-doxusJUXjzQpJopnkrkLEhCypAf ace-line old-record-id- ace-line old-record-id- What You’ll Be Doing strong: ace-line old-record-id- Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. ace-line old-record-id- Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. ace-line old-record-id- Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. ace-line old-record-id- Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data

Full responsibilities and requirements are on OKX's application page.

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About OKX
Hiring for governance, risk, and compliance roles on GRC Careers.
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Location and market context

This role is based in San Jose, California on-site. Local candidates benefit from being close to OKX's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About risk management roles

Risk roles own the methodology for identifying, assessing, and escalating enterprise, operational, and technology risk. Second-line teams set risk appetite and challenge the first line. Roles like this one are typically evaluated against frameworks such as enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices.

How to position yourself for this risk management role

Strong candidates emphasize risk assessment methodology, appetite and escalation, cross-functional partnership, and clear reporting to senior leadership and the board. In your resume and outreach, tie your experience to how OKX would apply enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices, and lead with concrete outcomes rather than duties.

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