Position Summary and Objective

• The role mainly focus on driving and implementing various Regtech initiatives, including building robust data pipelines & AI Application, devising analytics insights, establishing platform to usage of actionable insights.  
• Through the in-depth analysis across different spectrum of business / customer / transaction data, figure out problem points, risk points, opportunity points, and by using the data/AI to support bank’s internal control.
• Explore and create business solutions and actionable recommendations for the personal banking business by leveraging emerging technologies (e.g. Generative & Agentic AI, Machine Learning)

Job Responsibilities:

• Collaborate with internal stakeholders to understand business needs and deliver a spectrum of AI application and data services to improve operational efficiency and enhance internal control
• Establish AI application use cases and to develop protocol with ongoing tracking and improvement measures
• Utilize AI analytics to extract meaningful insights, optimize services and enable predictive modeling
• Develop and refine AI models & prototype to meet business requirements and objectives
• Identify and evaluate suitable AI vendors for specific use cases, managing the deliverables and timelines
• Prepare IT development documents, data analysis reports, business requirements

Job Requirements:

• Bachelor degree in Data Science, Computer Science, Information System or relevant disciplines
• 3 years of relevant experience relating to analytics, modeling, business intelligence and machine learning/AI/Generative AI in banking industries is preferred
• Hands-on experience in implementing risk-related AI/Data solutions
• Knowledge in RAG, promptings, model fine-tuning, embedding techniques, involvement in recommendation system is a plus
• Experience in AI/machine learning model related risk and control governance is a plus
• Experience in coding SAS, SQL, Python, VBA, etc. is an advantage
• Good command of English, Chinese (Cantonese), both spoken and written