Job Overview
Location
London
Job Type
Full-time
Category
Data Science
Date Posted
June 26, 2026
Full Job Description
đź“‹ Description
- • Own end-to-end product strategy and execution for US Personal Loans, driving aggressive growth in the largest lending market in the world.
- • Define and ship features that improve credit quality, reduce losses, increase customer satisfaction, and scale loan originations.
- • Collaborate directly with data science to operationalize proprietary credit and pricing models into production lending decisions.
- • Design and build automations that significantly increase operational efficiency for customer service, servicing, and collections teams.
- • Lead A/B testing of customer journeys from application through post-origination to identify what moves conversion, repayment, and satisfaction metrics.
- • Explore and implement LLM-powered solutions to enhance customer service, loan servicing, and collections workflows.
- • Improve the post-origination customer experience, including payments, support, and retention mechanisms.
- • Write SQL and Python to generate analytical insights independently, reducing reliance on analyst teams.
- • Commit code to production for straightforward features and build AI agent workflows to automate repetitive tasks.
- • Work closely with a team of ~14 backend engineers, 2–3 data scientists, 4 credit risk specialists, and a 1–2 person growth team.
- • Align and motivate cross-functional teams across London, Europe, and Arlington, Virginia to deliver high-impact outcomes.
- • Break complex problems into shippable pieces and make decisions under ambiguity with full ownership of outcomes.
- • Communicate crisply in specs, presentations, and cross-functional meetings to engineers, MDs, and leadership.
- • Build strong relationships across credit risk, operations, engineering, and growth to pull together the right people at the right time.
- • Default to action, move fast, and course-correct based on data and feedback.
- • Use AI not as a buzzword but as a force multiplier: demonstrate personal experience with AI-assisted analysis, code generation, or agent workflows.
- • Contribute to building Lendable as one of the most AI-forward financial services companies in the world.
🎯 Requirements
- • 3+ years in Product, Strategy, or Analytics, with at least 1 year in a Product Manager role
- • 1+ years in fintech, financial services, or a strong grasp of lending and credit
- • Proven track record of shipping products that moved real business metrics
- • Very comfortable with data analysis and SQL; able to ask and answer analytical questions independently
- • Experience building with AI — agents, workflows, code generation, or AI-assisted analysis
- • Highly curious systems thinker who connects dots and thinks through end-to-end impact
🏖️ Benefits
- • Strong base salary benchmarked to market and scaled to experience and level
- • Equity vesting over four years
- • Private health cover for physical and mental wellbeing
- • Retirement and savings plans for long-term financial wellbeing
- • Complimentary lunches and fully stocked kitchen on in-office days at select locations
- • Cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Lendable Ltd
Lendable is a UK-based fintech that operates an online consumer-lending platform using open-banking data and machine-learning underwriting to offer unsecured personal loans and car finance. Founded in 2014 and headquartered in London, it funds loans through an institutional peer-to-peer model, matching investors with borrowers seeking fast, fixed-rate credit. The company automates identity, affordability and risk assessment, providing near-instant decisions and same-day payouts while giving investors access to diversified consumer credit returns. Regulated by the Financial Conduct Authority, Lendable has originated more than ÂŁ2 billion in loans without maintaining physical branches, focusing on transparent pricing and mobile-first customer experience.
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