Jobs at Lendable

Build and own core AI developer tooling: extend the companys AI coding agent, enable spec/testing/reliability features, ensure secure data access, and help teams adopt AI-enhanced SDLC practices to measure and improve developer productivity.

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.

Lead backend development for a new mobile finance product: design and build APIs, apply DDD, event sourcing/CQRS and message-driven patterns, write automated tests, collaborate with frontend/product teams, and reuse learnings from existing teams to deliver an MVP.

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.

Manage partner relationships and execute sponsorship activations at Lendable. Drive measurable growth through partnerships and optimize performance metrics.

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.

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 data pipelines and ETL processes using Python and SQL; transform and model data with dbt and Snowflake; automate workflows, create tools to optimise operations, and collaborate with technical and non-technical stakeholders.

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.

Build and maintain Python-based data workflows and tools; transform and model data using SQL and dbt on Snowflake; develop and operate ETL/data pipelines and data-intensive backend services; collaborate with technical and non-technical stakeholders to deliver high-quality data products.

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.

Two-year graduate programme rotating across customer-facing operations to drive process improvement, automation, and data-driven decisions. You'll analyse problems, deliver projects, present results to stakeholders, and collaborate cross-functionally to improve customer experience and operational efficiency.

Investigate identity and application fraud across U.S. personal loans and credit cards, detect synthetic identities and fraud rings, manage end-to-end cases (KYC, SAR prep), screen sanctions/PEP alerts, handle CFPB/CRA fraud disputes, and communicate with U.S. customers.

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.

Run marketing and growth analytics across multi-product app: maintain LTV models, run experimentation and attribution, analyze campaigns and funnels, build scalable data pipelines, and partner with product, growth and engineering to inform marketing spend and product decisions.

Develop and deploy credit risk and behavioural models for US unsecured loans and credit cards using machine learning. Translate business problems into data questions, run experiments, implement models, monitor performance, and communicate results to stakeholders.