Data & AI Specialist - Digital Transformation Team (Corporate Banking)

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Quick Summary

Key Responsibilities

Data Analysis & Modeling: Analyze large datasets to identify trends, patterns, and insights.

Requirements Summary

Bachelor/Master degree in Data Science, Statistics, Computer Science, Mathematics, or a related field 3+ years of experience in a data or AI role,

Technical Tools
OtherDigital

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.

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.

 

Responsibilities

~1 min read
  • 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

Requirements

~1 min read
  • 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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Location & Eligibility

Where is the job
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Listing Details

First seen
September 1, 2026
Last seen
September 2, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
49%
Scored at
September 1, 2026

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Bank of China (Hong Kong) LimitedData & AI Specialist - Digital Transformation Team (Corporate Banking)