(Senior) Customer Analytics & Data Science Manager (AI & Modeling)

Bank of China (Hong Kong)

Hong Kong

On-site

HKD 1,200,000 - 1,900,000

Full time

2 days ago
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Job summary

Bank of China (Hong Kong) is seeking a Senior Customer Analytics & Data Science Manager to lead AI-driven analytics in personal banking. You will shape strategy, build and supervise models, and collaborate across business units to translate needs into practical AI solutions.

You will oversee vendor evaluation, ensure regulatory compliance, and drive opportunities powered by Generative AI, RL and ML, while staying abreast of the latest AI trends to strengthen the bank's competitive edge.

Qualifications

  • 4 years of analytics, modelling and AI/ML experience, at least 1 year in a managerial role.
  • Banking/Financial Services or FinTech experience preferred.
  • Experience with embedding techniques, RAG, promptings and LLM fine-tuning; familiarity with search/recommendation systems a plus.
  • Strong self-starter with business sense and understanding of the personal banking market.
  • Excellent English and Chinese; Mandarin a plus.

Responsibilities

  • Explore and create strategic AI solutions for the personal banking business using Generative AI, Reinforcement Learning, and Machine Learning.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.
  • Develop and refine AI models to meet business objectives and regulatory requirements.
  • Identify and evaluate suitable AI vendors, managing escalations to ensure deliverables and timelines.
  • Proactively identify new business opportunities and targeting strategies powered by AI technology advancements.
  • Stay highly tuned to the latest AI trends.

Skills

Analytics & ML
Team leadership
Cross-functional collaboration
Regulatory awareness

Education

CS/DS/IS degree

Tools

RAG techniques
LLM fine-tuning

Job description

(Senior) Customer Analytics & Data Science Manager (AI & Modeling)
  • Bank of China (Hong Kong)
  • China
  • Oct 18, 2026
Technology Full-time

About Bank of China (Hong Kong)

Bank of China (Hong Kong) Limited operates as a bank. The Bank offers corporate, private, and I-free banking, wealth management, deposits, credit card, investments, insurance, loan, mortgages, and other financial services. Bank of China...

  • Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g. Generative & Agentic AI, Reinforcement Learning, Machine Learning)
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
  • Develop and refine AI models to meet business objectives and regulatory requirements
  • Identify and evaluate suitable AI vendors for specific use cases, managing escalations to ensure deliverables and timelines are met with excellence.
  • Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
  • Highly sensitive to the latest AI trend
Requirements:
  • Degree or above with major in Computer Science, Data Science, Information Systems or related discipline
  • 4 years' experience relating to analytics, modelling and machine learning/AI/Generative AI, at least 1 years of which at managerial level
  • Experience in Banking, Financial Services or FinTech industry preferred
  • Experience and knowledge in embedding techniques, RAG, promptings and LLM fine-tuning, involvement in search engine or recommendation system is a plus
  • Experience in machine learning model/AI/Generative AI related risk and control governance is a plus
  • A mature self-starter with strong drive, motivation, committed with good business sense and strong understanding of the personal banking market
  • Excellent interpersonal and communication skills with excellent written and spoken English and Chinese, knowledge of Mandarin would be a definite advantage
  • Candidate with more experience will be considered as Senior Customer Analytics & Data Science Manager
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