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
