Who we are

• Lead the development and deployment of advanced AI models, specifically focusing on transformer models, to detect and mitigate fraudulent activities.
• Utilize transformer models to analyze sequential data for deeper insights into user behavior patterns that could indicate potential fraud.
• Collaborate with data engineering teams to refine data inputs, build and train transformer models to ensure high accuracy and efficiency in fraud detection.
• Continuously evaluate and iterate on the performance of AI models, incorporating the latest research and techniques in machine learning and AI.
• Responsible for demonstrating the models to stakeholders in alignment with their expectations
• Train and mentor team members in AI technologies and methodologies, fostering a culture of technical excellence and innovation, be responsible for anti-fraud work planning and project management.

• Advanced degree in Computer Science, Data Science, or a related field.
• Minimum of 10 years of experience in technology companies, with at least 5 years' experience in fraud detection/prevention, including hands-on experience with AI and machine learning technologies
• Demonstrated experience in developing and implementing deep learning models and user behavior analytics to detect fraud and security risks.
• Hands-on experience with feature designing, transformer, and clustering algorithms.
• Proven leadership in managing technical teams and delivering complex systems with a focus on fraud prevention and risk mitigation.
• Excellent problem-solving, strategic thinking, and communication skills.

• 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.