Top Tech Jobs & Startup Jobs in London

Early-career Associate Product Manager for UK Motor Finance. Owns product features across web and app, runs hypothesis-driven experiments, uses SQL/Python for analysis, partners with Engineering, Credit, Data Science and Design, and applies AI to automate workflows and improve customer conversion and experience.

Build and maintain full-stack web applications and automations for Central Operations using Python, FastAPI, React, and Next.js. Deliver tools used by operations teams, improve workflows through intelligent automation, and collaborate with Product, Data Science, and Analytics. Contribute to technical direction, apply strong engineering practices, and explore generative AI and LLM solutions to improve customer support, fraud prevention, complaints processing, and operational efficiency.

Build and maintain internally facing web applications and automations for Operations teams. Develop full-stack features using Python, FastAPI, JavaScript or TypeScript, React, and Next.js. Collaborate with Product, Data Science, and Analytics teams to deliver scalable operational tools and pragmatic AI solutions, including LLM-powered workflows. Take ownership of technical decisions, testing, code quality, system design, and feature delivery in a product-focused environment.

Build and improve Lendable’s data platform by delivering scalable, reliable, secure, and cost-effective data solutions. Partner with product, analytics, and engineering teams to enable fast analytics and insight generation. Responsibilities include developing data-intensive systems, applying modern data architectures, managing cloud infrastructure and infrastructure-as-code, supporting CI/CD, evaluating build-versus-buy decisions, and improving platform operations while working autonomously in an ambiguous environment.

Owns end-to-end, high-volume recruiting for Operations teams including Complaints, Fraud, Financial Crime, and Customer Operations. Partners with hiring managers, builds scalable talent pipelines, uses data and analytics to improve hiring outcomes, adopts AI and automation, identifies sourcing channels, and adjusts processes to support changing business needs in a fast-paced scale-up environment.

Owns high-volume, end-to-end recruitment across Operations, including Complaints, Fraud, Financial Crime, and Customer Operations. The role manages a small team of Talent Partners while recruiting individually, partnering with leaders, using data and AI to improve hiring processes, developing sourcing strategies, forecasting pipeline needs, and optimizing candidate conversion in a fast-paced scale-up environment.

Build and improve analytical data models supporting lending decisions, pricing, portfolio analysis, and investor reporting. Develop scalable ELT transformations, strengthen data quality and reliability, support analysts, troubleshoot pipeline issues, and improve transformation efficiency and cost-effectiveness. Collaborate with product, engineering, analytics, and business stakeholders while promoting analytics engineering standards and effective use of AI tools.

Leads the complaints function across multiple consumer finance products, setting strategy, developing teams, optimizing processes, and driving root-cause remediation. Owns relationships with the Financial Ombudsman Service and ensures FCA DISP-compliant reporting, conduct-risk controls, data accuracy, and regulatory governance. Uses performance data, automation, machine learning, and AI to improve efficiency, resolution speed, and customer outcomes.

Ten-week internship analyzing lending, credit risk, pricing, fraud detection, and economic trends. The intern will use Python or SQL, data modeling, hypothesis testing, and complex data analysis to inform lending decisions and improve strategy. They will generate insights, present findings to senior leaders, and collaborate with product and technology teams to implement recommendations.

Analyze complex lending data, build and evaluate financial models, test hypotheses, and generate insights that guide lending strategy, pricing, fraud detection, and credit decisions. Present findings to senior leaders and collaborate with product and technology teams to implement improvements in a fast-growing fintech startup.