AI Lead Engineer
On-site
Full Time
#Engineering
#AI
#Fraud Prevention
#Machine Learning
#Fraud Detection
#Data Engineering
#Project Management
#Deep Learning
#Algorithms
#Risk Mitigation
#Technical Leadership
At OKX we are reshaping global finance through a leading digital asset exchange, Web3 portal and blockchain ecosystem. Founded in 2017 and trusted by more than 50 million users across 180 countries, we deliver sophisticated trading tools and decentralized-finance solutions that give individuals worldwide access to the future of money. With over 3,000 colleagues spanning diverse backgrounds, we foster an inclusive culture that fuels long-term industry value. We are now looking for an experienced AI Lead Engineer to join our Singapore office on a full-time, on-site basis and drive the next generation of fraud-prevention technology.
Key outcomes
- Lead the design, development and production deployment of advanced transformer-based AI models that detect and prevent fraudulent activity across our platform.
- Apply transformer architectures to sequential user-behavior data, uncovering subtle patterns that signal emerging fraud risks and enabling proactive mitigation.
- Partner closely with data-engineering teams to curate high-quality inputs, train models to target accuracy levels, and integrate outputs into our real-time risk infrastructure.
- Continuously benchmark model performance against the latest machine-learning research, iterating rapidly to maintain industry-leading detection rates.
- Present model capabilities and results to senior stakeholders, ensuring alignment with business objectives and risk appetite.
- Mentor and upskill team members in AI methodologies while owning the anti-fraud technical roadmap, project plans and delivery milestones.
Requirements
- Advanced degree in Computer Science, Data Science or a closely related discipline.
- At least ten years of professional experience in technology-driven organizations, including a minimum of five years focused on fraud detection or prevention with direct application of AI and machine-learning techniques.
- Hands-on track record of building and deploying deep-learning models and user-behavior analytics that identify fraud and security threats.
- Practical expertise in feature engineering, transformer architectures and clustering algorithms.
- Proven ability to lead technical teams and deliver complex, high-impact systems that strengthen fraud prevention and overall risk posture.
- Strong analytical problem-solving, strategic thinking and clear communication skills.
- Full professional proficiency in English.
Preferred qualifications
- Prior experience in fast-paced startup or top-tier technology environments.
- Published research or notable contributions in cybersecurity, particularly in fraud detection or platform-security domains.
Compensation
We offer a competitive total compensation package together with learning-and-development programs, education subsidies, team-building initiatives and company events that support both professional growth and personal well-being.
How to apply
If you are ready to help shape the future of secure digital finance, we invite you to submit your application. Candidates currently eligible to work in Singapore without requiring visa sponsorship will receive priority consideration. We look forward to exploring how your expertise can contribute to OKX’s continued innovation.
