Who We Are

About the Opportunity

What You’ll Be Doing

• Build, evaluate, and deploy machine learning models for fraud and risk detection.
• Improve data quality, features, and model performance, balancing fraud detection with customer experience.
• Develop AI agents to support investigations, summarize cases, retrieve evidence, and automate routine workflows.
• Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating their output.
• Work with engineering, product, and risk teams to deploy solutions and monitor their impact.

What We Look For In You

• A strong foundation in machine learning, with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM.
• Strong Python skills and experience training, evaluating, and deploying models.
• Some practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation. Prototypes and personal projects are welcome.
• Regular use of AI coding tools, with the ability to understand, test, and improve generated code.
• Familiarity with databases and data pipelines for preparing training data and supporting ML workflows.
• Good problem-solving, communication, and collaboration skills.

Nice to Haves

• Experience in account takeover (ATO), scam detection, or other fraud and risk use cases.
• Experience with LLM training, fine-tuning, evaluation, and alignment.
• Experience with reinforcement learning algorithms and their practical implementation.
• Experience with real-time ML systems, imbalanced datasets, or model explainability.
• Prior fraud or risk experience is helpful
• Fluency in Mandarin

Perks & Benefits

• Competitive total compensation package
• L&D programs 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!