Abound - Product Associate
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Requirements
• 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
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