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Senior
Senior/Staff Software Engineer, Fraud Risk
Confirmed live in the last 24 hours
OKX
Singapore, Singapore
On-site
Posted March 16, 2026
Job Description
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
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
We are looking for a Senior/Staff Software Engineer to join our Fraud Risk team!
This role offers the chance to make an early and significant impact on our platform. You will drive key initiatives, and be responsible for the implementation and support of backend microservices, collaborating with frontend and cross-functional teams to coordinate complex deliverables and conducting research and providing meaningful technical feedback to influence team decisions.
Following are some domains you will have opportunities to work with:
- Real-time fraudulent monitoring with highly configurable rules
- Event data stream ingestion which supports near real-time fraud rules setup
- Advanced A/B testing capabilities for our customers so they can leverage greedy algorithms and fight fraud
- Powerful tools and innovative data science driven solutions for business user
- Full feature risk ecosystem
What You’ll Be Doing
- Apply deep proficiency with the Java stack and JVM (including memory/performance tuning an
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