Top Tech Jobs & Startup Jobs in London

The Senior Kotlin/JVM Engineer will enhance Lendable's fintech products using Kotlin, participate in design discussions, and integrate new APIs while maintaining existing services. The role emphasizes clean engineering practices and collaboration within a strong tech team.

The Senior Credit Analyst will optimize credit decisioning, define credit strategies, analyze data using Python and SQL, and collaborate cross-functionally to enhance portfolio performance.

As a Credit Risk Manager, you'll lead analysts to optimize credit strategies, analyze data for decision-making, and improve portfolio performance in consumer finance products.

Lead quality engineering across product teams with an automation-first approach: build test frameworks, CI tooling, AI-assisted testing agents, performance benchmarks, reliable E2E suites, reduce flakiness, drive shift-left quality, and close the loop with observability to improve SLOs and reduce incidents.

Lead quality engineering across product teams with an automation-first approach: build test frameworks, AI-assisted testing agents, CI tooling, SLOs, performance benchmarks, reduce flakiness, improve test data and environments, and partner with product and engineering to prevent defects and close the loop on production issues.

The Strategy Analytics Manager will drive promotions, perform financial forecasting, evaluate expansion opportunities, influence stakeholders, and mentor a team to optimize performance and growth.

Own platform stability and roadmap as a commercially accountable Technical Product Manager embedded in engineering. Prioritise platform investments by business value, track SLA/SLO and reliability metrics, act as single stakeholder interface between pods and leadership, enforce CI/CD standards, and contribute technically by writing code, reviewing PRs, and participating in architecture design.

Build and maintain data pipelines and ETL, transform and model data with SQL and dbt, and use Python to build workflows, automation, and tools to optimise analytics products while collaborating with technical and non-technical stakeholders.

Work at the intersection of analytics engineering and Python-based data engineering to transform and model data using SQL and dbt, build and maintain data pipelines/ETL, automate workflows with Python, and deliver high-quality data products while collaborating with technical and non-technical stakeholders.

Lead end-to-end product for UK loans onboarding, improving conversion across web and app. Define roadmap, run hypothesis-driven experiments, use Python/SQL for analysis, apply AI to automate workflows, and collaborate with engineering, credit, data science, design and operations to scale origination and ensure regulatory and risk alignment.