A top-tier STEM or Economics graduate (computer science, engineering, mathematics, physics, economics, or similar)
0–2 years of experience, including internships, placements, or early-career roles with real responsibility
Practical experience beyond academia, e.g. internships, startups, consulting projects, fintech, data, or operational roles
Strong analytical skills and comfort working with data (SQL, Python, Excel, or similar)
Structured problem-solver who can break down messy, real-world problems
Technically curious and comfortable working with systems, even if you’re not an engineer
Clear communicator who can work effectively with both technical and non-technical teams
How you work (and what we value)
You take ownership and follow through until problems are actually solved
You’re comfortable working in ambiguity and don’t wait for perfect instructions
You care deeply about customer outcomes and operational reality
You speak up when something doesn’t make sense and help fix it
You’re willing to put in extra effort at key moments (e.g. launches, live incidents), knowing this is where real learning happens
Progression & growth
This role serves as a stepping stone to Product Management, offering a clear progression path.As a Product Analyst, you’ll be expected to:
Build deep product and operational knowledge
Consistently own and solve problems end-to-end with real business and customer impact
Demonstrate strong judgement, data-driven thinking, and stakeholder management
High performers will progress to Junior Product Manager as they begin to:
Own small features or product areas independently
Lead defined workstreams within launches
Take direct ownership of partner-facing or customer-facing product improvements
Progression is based on impact and ownership, not time served.
Responsibilities
Launch readiness & operational support
Work closely with Operations teams (customer support, collections, complaints) to ensure new products, features or customer journeys are fully supported at launch
Help define and document operational processes, edge cases, and failure scenarios
Ensure tooling, data visibility, and workflows allow teams to support customers effectively from day one
Act as a key point of contact during launches and early post-launch periods, helping triage and resolve live issues
Day-to-day product operations
Support BAU product operations by investigating customer and partner issues, identifying root causes, and working with engineering and product to fix them
Analyse operational data to identify recurring problems and improvement opportunities
Help ensure issues are properly closed out, not just discussed
Supporting product delivery
Support Product Managers with discovery, delivery coordination, and partner onboarding
Help with testing, release validation, and regression checks
Learn how APIs, decisioning flows, and data pipelines work in practice
Product analysis & insight
Analyse product performance across conversion, approval rates, origination volumes, and credit outcomes
Build dashboards and ad-hoc analyses to support decision-making across Product and Operations
Form clear hypotheses from data and help test improvements
Benefits
Everyone owns a piece of the company - equity
Hybrid with 3 days a week in the office
25 days’ holiday a year, plus 8 bank holidays
2 paid volunteering days per year
One month paid sabbatical after 4 years
Free gym membership
Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering