Risk Analytics & Data Science Manager

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

Bank Of China (Hong Kong) Limited - Hong Kong - Full time

Salary: Competitive

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
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