Thomson Keene
Senior Data Architect

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
VP Data Architecture | Financial Markets
An exciting opportunity has arisen for a VP-level Data Architect to join a major financial institution’s Chief Data & Analytics Office, working on a strategic programme that is shaping how trading data is modelled, governed and consumed across the organisation.
This is a strategic data architecture role, not a hands-on engineering position. The ideal candidate will combine deep financial markets knowledge with strong data architecture and modelling experience.
The Role
You’ll play a key role in building the enterprise data architecture that supports 30+ platforms across financial markets, helping create a consistent data foundation across the trading lifecycle.
The programme is focused on connecting front office / pre-trade, trade capture and post-trade data, enabling faster and more effective real-time risk capabilities.
You’ll be responsible for helping define the architecture, standards and modelling approaches that underpin this data ecosystem.
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
Front Office Financial Markets experience is essential.
We're particularly interested in candidates with backgrounds across:
- Credit
- Rates
- FX
- Equities
- Commodities
You should have a strong understanding of financial markets and the end-to-end trade lifecycle, combined with experience in data architecture and/or data modelling at VP level or equivalent.
You'll ideally bring experience across:
- Enterprise data architecture
- Data modelling
- Data architecture standards
- Architecture and modelling tools
- Data governance
- Strategic technology/data decision-making
- AWS or cloud environments (desirable, not essential)
What You'll Be Doing
- Define and drive strategic data architecture across the markets business
- Develop robust enterprise data models that support trading and risk use cases
- Establish architectural and modelling best practice
- Challenge existing approaches and identify opportunities for improvement
- Develop and present compelling business cases for architectural and modelling decisions
- Work closely with senior stakeholders across Markets, Data, Technology and Risk
- Help establish consistent approaches to trading data across multiple platforms


Get help with your application
Your very own career expert that helps elevate your application to the next level.
The Ideal Candidate
You'll be someone who can bridge the gap between financial markets and data architecture.
You don't need to be a hands-on coder or data engineer. What's important is that you understand how markets operate, how trades flow through the bank, and how those processes translate into effective enterprise data models and architecture.
You'll be comfortable operating strategically, influencing senior stakeholders and challenging established thinking while bringing a strong understanding of markets to architectural decisions.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location