Partner with business units to analyse requirements and identify opportunities for AI adoption. Assess the feasibility of proposed solutions, evaluate key challenges and risks, and conduct proof-of-concept studies to demonstrate the value and applicability of innovative AI technologies to business needs.
Contribute to the ongoing development of the bank’s AI application ecosystem by actively participating in AI and data analytics initiatives. Take part in the planning, design, and execution of projects, and collaborate within cross-functional data science teams throughout the machine learning model development lifecycle to deliver impactful solutions.
Stay current with the latest advancements in AI technologies and governance practices. Conduct innovative research to help shape the bank’s AI strategy and roadmap. Prepare study reports and presentations tailored to diverse audiences, and support the continuous improvement of AI governance and risk control measures.
Requirements:
Bachelor’s degree or above in Artificial Intelligence, Statistics, Mathematics, Computer Science, or related fields.
Solid understanding of machine learning, deep learning, natural language processing, and generative AI.
Proficient in Python and familiar with mainstream machine learning modelling and generative AI application frameworks and tools.
Banking, Financial Services or Fintech industry experience preferred
Knowledge in data visualization tools such as Tableau preferred
Strong analytical mindset and problem-solving skills with strong attention to details
Excellent communication and presentation skills
Good command of written and spoken English and Chinese, including Putonghua
