Product Associate
Job description
A Product Associate role at a UK consumer lending fintech, working across product, data and commercials to analyse performance, model unit economics and help ship product features. It is positioned as a stepping stone to Product Manager for top-tier STEM or Economics graduates.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid · United Kingdom
What you'll do
- Own analysis of product performance across the full funnel: traffic, applications, approvals, conversion, originations, repayment and credit outcomes
- Build and maintain the dashboards, metrics and data models that Product, Credit and Operations rely on
- Form sharp hypotheses, design experiments (journey changes, pricing, A/B tests) and measure the impact rigorously
- Get to the root cause of anomalies quickly, whether the cause is in the data, the code or the customer journey
- Model the economics of each product: acquisition cost, approval and take-up rates, pricing, funding cost, expected loss, servicing cost and lifetime value
- Put numbers on the trade-offs behind product decisions, such as wider approval versus higher losses, or partner revenue share versus volume
- Track contribution margin and cohort profitability by product, channel and partner, and show where we make or lose money
- Come up with ideas for scaling and growing (new segments, channels, products and pricing) and estimate what each one is worth
- Look across products and partnerships for cross-sell, top-ups, repeat lending, shared customers and shared data
- Help evaluate new partner opportunities and build the business case, covering volume, economics, integration effort and risk
- Turn the strongest ideas into clear proposals and see them through to launch
- Use AI coding tools to build and ship product end to end, across both front-end and back-end, from quick prototypes to features that go live
- Build internal tools, automations and data workflows that remove manual work and help the team move faster
- Build dashboards in AWS QuickSight and track funnels, events and experiments in PostHog
- Use SQL and Python every day to pull, model and analyse data
- Learn how APIs, decisioning flows and data pipelines work, and work directly with engineers on specs, testing and release validation
- Support Product Managers with discovery, delivery and partner onboarding
- Define success criteria for each launch and the metrics that show whether it's working
- Design test scenarios, including edge cases and failure modes, and test the end-to-end customer journey before release
- Work closely with QA to make sure production releases are stable
- Monitor production performance after release, and pick up and triage related bugs with engineering
- Make sure new products and journeys work at launch for customer support, collections and complaints teams
- Use operational data to spot recurring issues, fix them at the source and make sure they're closed out
What we're looking for
- 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
- Strongly analytical and confident with SQL and Python, able to go from raw data to a clear recommendation
- Able to build with AI: use AI coding tools (e.g. Claude Code, Cursor) to ship working front-end and back-end code, with things built such as side projects, hackathons, internal tools or production apps
- Hands-on with analytics tools such as AWS QuickSight, PostHog or similar BI and product analytics platforms
- Commercially minded: naturally asks how something makes money, and enjoys modelling unit economics, pricing and P&L
- Strong product sense: has opinions on the products they use, why they work and how they could grow
- A structured problem-solver who can break down messy, real-world problems
- A clear communicator who can walk an engineer through a model and make a recommendation to leadership
Nice to have
- An interest in consumer credit, lending, payments or fintech
- Experience with experimentation and statistics
Benefits
- Equity
- Hybrid working, 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's paid sabbatical after 4 years
- Employee loan
- Free gym membership
- Team wellness budget to be active together
Apply
Direct apply at Abound
Opens the job posting at Abound
About Abound
Redefining consumer lending in the UK, and beyond
A UK consumer lender using AI and Open Banking data to look at the full financial picture rather than relying almost entirely on credit scores. It has issued over £1.3bn in loans directly to customers, reached profitability 2.5 years after launch, and is backed by £2bn+ of funding from top-tier investors.
Mission
Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people.
Key facts
- Consumer lending / fintech
- Issued over £1.3bn in loans directly to customers
- For every 10 defaults the industry expects, Abound sees only 3
- Reached profitability just 2.5 years after launch
- Backed by £2bn+ of funding
- Recognised as one of Europe's fastest-growing fintechs (Sifted, CNBC)
Partners & customers
What they value
- Think like an owner, of both the customer outcome and the commercial outcome
- Rather build a quick prototype or run the numbers than debate in the abstract
- Follow through until problems are actually solved
- Comfortable with ambiguity and don't wait for perfect instructions
- Speak up when something doesn't make sense, and help fix it
- Put in extra effort at key moments, such as launches and live incidents
