Senior/ Lead AI Engineer (Anti-Fraud)

Lead Engineer to spearhead implementation of cutting-edge AI technologies to combat fraudulent activities. Requires expertise in AI-driven fraud detection systems and integration of complex models into risk infrastructure.

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Singapore, Southeast Asia

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Requirements

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.

Responsibilities

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.

Benefits

Competitive total compensation package

L&D programs and Education subsidy for employees' growth and development

Various team building programs and company events