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🚀 Product Manager | AI & Data Intelligence
📍 Central London | Hybrid – 3 days per week
💰 Competitive Salary + Share Options
📄 Permanent
We’re partnering with a fast-growing AI intelligence business that is transforming how some of the world’s largest financial institutions understand, benchmark and accelerate their adoption of AI. Following significant growth, they’re looking for a Product Manager to join their Product team and help drive the delivery of their Index & Intelligence platform.
This is a brilliant opportunity for a detail-oriented PM who enjoys being close to delivery, working across Engineering, Data, Design and commercial teams, and turning product direction into high-quality features that deliver genuine value to clients.
What you’ll be doing:
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.
- Own the day-to-day delivery of product initiatives across their intelligence platform
- Translate product direction into clear specs, requirements and acceptance criteria
- Own QA and release quality, ensuring features are ready before reaching clients
- Coordinate across Engineering, Data, Design, Marketing and Research teams
- Turn client feedback into structured bugs, feature requests and roadmap insights
- Monitor product adoption, MAUs and feature performance
- Support competitive and market research to identify future product opportunities
- Manage dependencies, flag risks and keep launches moving
What we’re looking for:
- Product Management experience within a digital/platform environment
- Strong execution skills and the ability to manage multiple priorities
- Experience writing detailed product requirements and acceptance criteria
- Comfortable working closely with Engineering, Data and Design
- Strong attention to detail and experience with QA/release processes
- Commercially minded and comfortable using client feedback to inform product decisions
- Proactive, curious and happy operating within a fast-paced, scaling environment


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Experience within AI, data products, intelligence platforms or financial services would be advantageous, but isn’t essential.
The package:
- Competitive salary
- Share options
- 28 days holiday + bank holidays
- Private healthcare
- Pension
- £1,000 annual L&D budget
- Central London office – minimum 3 days per week
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