AI Senior/Lead Engineer (On-Chain Anti-Fraud)
OKX
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.
- Develop and deploy AI models, particularly transformer models, to detect and mitigate fraudulent activities.
- Utilize graph algorithms and graph machine learning techniques to enhance model accuracy and insights into complex data relationships.
- Work closely with data engineering teams to enhance data inputs, and to build and train transformer models for improved fraud detection accuracy and efficiency.
- Regularly evaluate and update the performance of AI models using the latest machine learning, graph machine learning, and AI research and techniques.
- Assist in demonstrating model capabilities to stakeholders and aligning outcomes with expectations.
- Support team members in learning AI technologies and methodologies, contributing to a culture of technical excellence and innovation.
- Maintain an understanding of blockchain technology and its implications for security and fraud detection within a crypto trading context.
- Bachelor’s or Master's degree in Computer Science, Data Science, or a related field.
- 4 to 8 years of experience in technology-focused roles, with significant exposure to fraud detection/prevention with graph models.
- Experience in developing and deploying machine learning models, including deep learning, graph machine learning, and user behavior analytics for fraud and security risk detection.
- Practical experience with feature engineering, transformer models, clustering algorithms, and graph algorithms.
- Strong analytical and problem-solving skills, with the ability to manage multiple projects and collaborate effectively with other team members.
- Good communication and strategic thinking skills.
- Solid understanding of blockchain technology and its applications in security and fraud prevention.
- Previous experience in fast-paced or startup environments, or at top-tier technology firms.
- Contributions to projects or research in cybersecurity, particularly those relevant to fraud detection and platform security.
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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