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(Senior) Customer Analytics & Data Science Manager (Modeling)
Location not stated
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Job No.: 500099 Employment Type: Full time Departments: Personal Banking and Wealth Management Department
Read the full posting
What you’ll work on
Full postingExplore AI solutions, such as generative, agentic AI and machine learning, for personal banking
Translate business needs from cross-functional teams into technical solutions
Develop and refine AI models to meet business objectives and regulatory requirements
Identify and evaluate AI vendors and manage escalations to meet deliverables and timelines
Identify new AI-powered business opportunities and targeting strategies
From the employer’s posting
Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies
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
What you’ll bring
All qualificationsCore experience
- 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
Preferred experience
- 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
Qualification wording
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
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 48
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Bank of China (Hong Kong) is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
(Senior) Customer Analytics & Data Science Manager (Modeling)
Job No.: 500099
Employment Type: Full time
Departments: Personal Banking and Wealth Management Department
Job Functions: Business Development, Strategic Planning, Information Technology, FinTech
Responsibilities:
- 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
If you are applying for in-scope position(s) under the Mandatory Reference Checking Scheme (i.e., A role carrying out regulated activities licensed by the IA, SFC & MPFA), you are required to undergo the Mandatory Reference Checking. Our responsible recruiter will inform you the details of the MRC process and the requirements in due course. For details, please click here.
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