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Data & AI Specialist - Digital Transformation Team (Corporate Banking)
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.: 500107 Employment Type: Full time Departments: Transaction Banking Department
Read the full posting
What you’ll work on
Full postingAs a Data & AI Specialist, you will play a crucial role in driving Data & AI initiatives that support our corporate banking business and operations.
Meanwhile, we are modernizing our data architecture into an AI-ready foundation to power next-generation intelligent applications.
Analyze large datasets to find trends, patterns and insights
Design enterprise ontologies, taxonomies and semantic models for corporate banking
Apply generative AI and LLMs to automate processes
Work with business units to turn their data needs into analytical solutions
Document methods and results for AI governance and present analytical reports
From the employer’s posting
As a Data & AI Specialist, you will play a crucial role in driving Data & AI initiatives that support our corporate banking business and operations. You will also collaborate with cross-functional teams to derive actionable insights that enhance decision-making processes, improve operational efficiency and provide better customer experiences.
Meanwhile, we are modernizing our data architecture into an AI-ready foundation to power next-generation intelligent applications. In this role, you will play a critical part in designing and scaling the domain ontologies, semantic models, and knowledge structures that make our data accessible and context-rich for enterprise-wide AI applications.
Analyze large datasets to identify trends, patterns, and insights.
Research and Design enterprise ontologies, taxonomies and semantic models across corporate banking products, operations and customers
Leverage generative Al models to automate processes and enhance operational efficiency
Work closely with stakeholders across business units to understand their data needs and translate them into analytical solutions
Document methodologies and results for Al governance purpose. Present reports on analytical findings
Education & alternatives
Job Requirements: - Bachelor/Master degree in Data Science, Statistics, Computer Science, Mathematics, or a related field - 3+ years of experience in a data or AI role, preferably within the banking or financial services industry
About Bank of China (Hong Kong)
Our mission is to leverage innovative technologies and data driven insights to enhance our services, empower our employees and deliver exceptional value to our clients.
In the employer’s words · Read in context
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.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- NumPy
- pandas
Where the posting names them
- 3+ years of experience in a data or AI role, preferably within the banking or financial services industry - Proficiency in programming languages such as Python and SQL - Experience with data manipulation and analysis libraries (e.g., pandas, NumPy)
- Proficiency in programming languages such as Python and SQL - Experience with data manipulation and analysis libraries (e.g., pandas, NumPy) - Experience with LLMs and NLP techniques for analyzing and generating unstructured data
Your next step
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About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Data & AI Specialist - Digital Transformation Team (Corporate Banking)
Job No.: 500107
Employment Type: Full time
Departments: Transaction Banking Department
Job Functions: Strategic Planning, Information Technology, Project Management
About Us:
At BOCHK, we are at the forefront of digital transformation in corporate banking. Our mission is to leverage innovative technologies and data driven insights to enhance our services, empower our employees and deliver exceptional value to our clients. We are seeking a talented Data & AI Specialist to join our Digital Transformation Team.
Role Overview:
As a Data & AI Specialist, you will play a crucial role in driving Data & AI initiatives that support our corporate banking business and operations. You will also collaborate with cross-functional teams to derive actionable insights that enhance decision-making processes, improve operational efficiency and provide better customer experiences.
Meanwhile, we are modernizing our data architecture into an AI-ready foundation to power next-generation intelligent applications. In this role, you will play a critical part in designing and scaling the domain ontologies, semantic models, and knowledge structures that make our data accessible and context-rich for enterprise-wide AI applications.
Job Responsibilities:
- Data Analysis & Modeling: Analyze large datasets to identify trends, patterns, and insights.
- Collaboration: Work closely with stakeholders across business units to understand their data needs and translate them into analytical solutions
- Research & Innovation: Stay updated with industry trends and emerging technologies to drive innovation within the team
- Documentation & Reporting: Document methodologies and results for Al governance purpose. Present reports on analytical findings, ensuring clarity and accessibility for all stakeholders
- Generative Al/LLM: Leverage generative Al models to automate processes and enhance operational efficiency
- Research and Design enterprise ontologies, taxonomies and semantic models across corporate banking products, operations and customers
Job Requirements:
- Bachelor/Master degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
- 3+ years of experience in a data or AI role, preferably within the banking or financial services industry
- Proficiency in programming languages such as Python and SQL
- Experience with data manipulation and analysis libraries (e.g., pandas, NumPy)
- Experience with LLMs and NLP techniques for analyzing and generating unstructured data
- Strong problem-solving skills and the ability to work with complex data sets
- Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders
- Ability to work collaboratively in a fast-paced, dynamic environment
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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