HSBC Global Services Limited
Data Modeller

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If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of Data Modeller to help shape how HSBC defines, organises and connects business terms across the Group. You’ll build high-quality glossaries, taxonomies and ontologies that create a shared semantic layer - so our data can be understood consistently and used by AI to answer questions across teams, faster and with more confidence.
In this role you’ll:
- Drive high-quality content within the HSBC Business Information Model (HBIM), with a focus on the Group Business Glossary, Taxonomy of Business Terms, and Group Data Categories (high-level groupings of terms)
- Curate and maintain coherent taxonomies and authoritative definitions, ensuring business terms are clear, consistent, unambiguous, and organised into navigable hierarchies and relationships
- Support the Group ownership operating model by enabling a framework where the business owns the terms, while you provide the modelling expertise, standards, and governance to keep content high quality and reusable
- “Join the dots” across teams/domains to help build a shared semantic layer that supports cross-boundary understanding and consistency
- Contribute to ontology development (the layer between taxonomies) to enable AI to query and reason across multiple teams, products and datasets - turning terminology into a connected, machine-interpretable knowledge layer
- Apply industry standards and components to strengthen semantic consistency and interoperability (e.g., SKOS, PROV-O, DCAT, OWL Time, ORG, Dublin Core; awareness of FIBO/BIAN)
- Embrace AI-enabled ways of working to accelerate modelling, metadata management and quality - using modern tooling to help HSBC make better, faster decisions from our data
- Engage stakeholders confidently, translating semantic concepts for technical and non-technical audiences, and contributing to forums and working groups
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
To be successful in this role you should meet the following requirements:
- Demonstrable experience in business glossary curation, taxonomy design, and/or ontology modelling, with a clear understanding of how these enable AI and data interoperability
- Strong data analysis capability and attention to detail, able to deliver in a fast-paced environment
- Confidence working in an operating model where the business owns definitions, and you partner to ensure quality, consistency, and adoption
- Practical experience with modelling and metadata practices; Collibra experience is useful but not essential (tooling matters less than the modelling fundamentals)
- Exposure to APIs and automation/integration thinking; some hands-on Python experience (AI-assisted development is welcomed)
- Strong communication and stakeholder management skills, with the ability to explain semantic modelling concepts clearly
- A genuine interest in cutting-edge tooling and AI for Data & Tech, leveraging HSBC’s owned data to improve decision-making speed and quality
- Financial Services experience is beneficial


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Opening up a world of opportunity
Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio-economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk via hsbc.recruitment@hsbc.com.
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