Product Associate

Abound

. Analyze product performance across the full funnel: traffic, applications, approvals, conversion, originations, repayment and credit outcomes .

Posted 10/26/2026full-timeLondon • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical capabilities with proficiency in SQL and Python for data modeling and analysis, alongside experience in building dashboards and utilizing AI coding tools for product development. Possesses a solid understanding of product economics and the ability to communicate insights effectively to stakeholders.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyAI Coding Tools ExperienceAWS QuickSight ExpertiseProduct Economics Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExperiment DesignRoot Cause InvestigationCohort Profitability TrackingUnit Economics ModelingTest Scenario DesignData Workflow AutomationMetrics DevelopmentProduct Performance AnalysisClear Recommendations

Soft Skills

Structured Problem-SolvingClear CommunicationStrong Product Sense

Tools & Technologies

AWS QuickSightPostHogAI Coding ToolsData Dashboards

Industry Keywords

Consumer CreditLendingPaymentsFintechBusiness Case Development

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Analyze product performance across the full funnel: traffic, applications, approvals, conversion, originations, repayment and credit outcomes
Build and maintain dashboards, metrics and data models for Product, Credit and Operations
Form hypotheses, design experiments and measure impact rigorously
Investigate root causes of anomalies in data, code or customer journeys
Model product economics including acquisition cost, approval and take-up rates, pricing, funding cost, expected loss, servicing cost and lifetime value
Track contribution margin and cohort profitability by product, channel and partner
Identify scaling and growth opportunities across segments, channels, products and pricing
Evaluate partner opportunities and build business cases covering volume, economics, integration effort and risk
Turn ideas into proposals and support them through launch
Use AI coding tools to build and ship front-end and back-end product features
Build internal tools, automations and data workflows
Build dashboards in AWS QuickSight and track funnels, events and experiments in PostHog
Use SQL and Python daily to pull, model and analyze data
Work with engineers on specifications, testing and release validation
Support Product Managers with discovery, delivery and partner onboarding
Define launch success criteria and metrics
Design end-to-end test scenarios, including edge cases and failure modes
Work with QA to ensure stable production releases
Monitor production performance and triage bugs with engineering
Ensure products and journeys are ready for customer support, collections and complaints teams
Use operational data to identify recurring issues and resolve them at source

Requirements

What you’ll need

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 using AI coding tools (e.g. Claude Code, Cursor) to ship working front-end and back-end code
Hands-on with analytics tools such as AWS QuickSight, PostHog or similar BI and product analytics platforms
Commercially minded, with ability to model unit economics, pricing and P&L
Strong product sense
Structured problem-solving ability
Clear communication skills, including explaining a model to an engineer and making recommendations to leadership
Nice to have: interest in consumer credit, lending, payments or fintech; experience with experimentation and statistics

Benefits

Comp & perks

Equity: everyone owns a piece of the company
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: set up a yoga class, a tennis lesson or go bouldering