QuantSpark
Product Manager (Consulting)

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Join Our Mission
At QuantSpark, we’re transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you’ll work directly on the problems that matter most - whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies.
We're a (roughly) 50-person analytics and AI consultancy in London, Blackfriars - small enough that the work you do is visible to the whole business, and ambitious enough that what we take on is some of the most interesting work in our field, applying data science, machine learning and applied AI to problems that move the needle for the organisations we work with.
We deliver that through four capabilities:
- AiRE (AI Rollout Engine): embedding AI tools into how a business actually runs
- QuantSpark Labs: short, sharp engagements that prove or kill an idea fast, before anyone commits serious budget to it
- QuantSpark Transform: consulting-led change to how a business makes decisions, using data, AI and software as the lever
- QuantSpark Forge: enterprise data and AI solutions, built and embedded to solve problems that come up again and again
The role
AI is a vital part of how we work here - we're less interested in whether you've used it, and more interested in what you've done with it, so we'll be curious to hear how it shows up in your own day to day.
You'll move across a portfolio of client engagements spanning our four capabilities, some short and exploratory, some longer and more complex. If you've got consulting experience, or you've owned external client relationship before, you'll feel at home. You'll own the roadmap, run discovery, manage senior client relationships, and prototype directly using AI tools to validate ideas before we commit engineering time to them.
We're looking for someone who can run delivery with autonomy, who is able to hold a project team together day to day.
What you'll do
- Own the client relationship: Manage expectations, communicate progress, build trust with senior stakeholders
- Shape the product: Define vision, translate strategy into a prioritised roadmap, and make the trade-off calls that come with it
- Run agile delivery: Lead ceremonies, manage the backlog, write acceptance criteria, keep the team focused on what matters
- Lead discovery: Design and run stakeholder interviews and workshops that get to the real problem
- Prototype: Use AI tools to build functional prototypes and test assumptions before engineering resource gets committed
- Do the business analysis: Turn messy requirements into clear specs
- Keep multiple workstreams moving: Coordinate cross-functional delivery, on time, within scope
- Land the change: Lead training and adoption work so clients get value from what we've built
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 you'll need
- External client ownership: External client account relationships, with commercial risk attached
- Confident, clear communication: You can hold a room of senior stakeholders and communicate clearly with gravitas
- A track record with AI tools: If you've prototyped something in Claude Code or Cursor to unblock a decision or bypass an engineering queue, tell us about that!
- Consulting or client-facing experience: You'll thrive here if you've worked in a consulting environment, or you've owned client-facing work elsewhere.
- Comfort with pace and autonomy: You've thrived somewhere fast-moving, whether that's a smaller business, a consultancy of any size, or a high-growth environment
- Commercial acumen: You understand how product connect to business outcomes
Preferred, but not required
- Working knowledge of project tools like Jira, Monday or Confluence
- Comfort with SQL, or exposure to analytics tooling such as Google Analytics, Hotjar or Mixpanel-style platforms
- A product or project management qualification
- Experience with structured change management or adoption frameworks
What you'll love about QuantSpark


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- A growth environment with mentorship and the chance to build your skills quickly
- Clear visibility into how your work contributes to client outcomes
- An extremely innovative environment, with exposure to cutting edge AI
- Real ownership from day one, with the chance to work on meaningful client projects
- The freedom to bring new ideas and ways of working to a project, backed by a team that values initiative
- A close-knit and highly collaborative team that works directly with our engineering and data science colleagues on projects
Benefits
- Bonus scheme combining company profit share and personal performance (up to 10% of salary)
- EMI share options for everyone, regardless of seniority
- £6,000 annual training and conference budget
- Up to 12% matched pension
- Comprehensive private healthcare through Vitality
- 25 days holiday plus 8 bank holidays, with the option to buy or sell up to 5 additional days
- Work from anywhere in the world for up to 1 month a year
- Enhanced maternity, paternity and shared parental leave
- Free annual Headspace subscription
- Cycle to work scheme
- Modern Blackfriars office (Southwark), with regular team socials, monthly QuantSpark Fridays and employee-led clubs
- Retail, travel, technology and fitness discounts via Vitality
- Regular tech talks, knowledge-sharing sessions and dedicated innovation time
Equal opportunities
We strongly believe that diversity of people and ideas is essential for the wellbeing and effectiveness of our team, and we are committed to creating a company where diversity in culture, experience, and background is truly valued. Diverse and inclusive teams bring different perspectives and ideas that help better serve our clients and help us all develop. QuantSpark is an equal opportunities employer and makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.
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