OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.
Introduction:
We are seeking an experienced Lead Engineer to spearhead the implementation of cutting-edge AI technologies, including transformer models, to combat and prevent fraudulent activities. This role requires an expert in AI-driven fraud detection systems who can effectively integrate complex models into our risk infrastructure to maintain and enhance platform safety & efficiency.
What You’ll Be Doing
- 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.
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Bachelor’s or Master's degree in Computer Science, Data Science, or a related field.
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4 to 8 years of experience in technology-focused roles, with significant exposure to fraud detection/prevention with graph models.
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Experience in developing and deploying machine learning models, including deep learning, graph machine learning, and user behavior analytics for fraud and security risk detection.
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Practical experience with feature engineering, transformer models, clustering algorithms, and graph algorithms.
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Strong analytical and problem-solving skills, with the ability to manage multiple projects and collaborate effectively with other team members.
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Good communication and strategic thinking skills.
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Solid understanding of blockchain technology and its applications in security and fraud prevention.
Preferred Qualifications:
- Experience in startup environments and fast-paced companies or top-tier technology companies
- Published research or contributions to the field of cybersecurity, especially in areas 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
More that we love to tell you along the process!
