Jobs at Lendable

Process daily financial reconciliations, bank transfers, repayments, liquidity monitoring, auction proceeds, and product maintenance activities. The role requires strong accuracy, organization, problem-solving, and deadline management while collaborating with finance, capital markets, data science, and product teams to improve processes and support fintech products.

Source, pitch, negotiate, and onboard new affiliate, influencer, and sponsorship partners. Own partnership economics, including CPA, CAC, LTV, ROI, attribution, payouts, and payback. Run activations end to end, manage network relationships, optimize partner performance, and build scalable playbooks and tooling. Collaborate with creative, growth, lifecycle, finance, and legal teams while reporting data-backed recommendations to the Head of Growth Partnerships.

Own engineering quality across the organization through quality gates, SLOs, incident follow-ups, risk reporting, performance testing, and shift-left practices. Lead AI adoption in testing, contribute to test frameworks and CI pipelines, and hire and manage Quality Engineers embedded across teams. Partner with senior stakeholders to drive quality initiatives, improve reliability, and establish a company-wide quality mindset for large-scale B2C products.

Lead daily IT support operations, guide and coach IT Engineers, resolve escalated technical issues, and improve service quality. Manage support across Windows, macOS, Linux, mobile devices, and office equipment. Oversee onboarding and offboarding, ITSM systems, reporting, documentation, workflow automation, and process optimization. Collaborate with Security and Engineering to maintain reliability and data protection while supporting hybrid offices and preparing for progression into IT management.

Leads Lendable’s risk-based compliance monitoring programme and team, providing independent second-line assurance across consumer credit, FCA requirements, customer outcomes, data protection, and regulatory obligations. Responsibilities include planning and delivering thematic reviews, testing controls, reporting findings, escalating customer harm, tracking remediation, producing Board-level MI, supporting FCA and skilled-person reviews, and developing monitoring capability through data and tooling. The role deputises for the Head of Compliance and requires strong consumer credit, regulatory, leadership, reporting, and stakeholder-management expertise.

Build and maintain scalable data platform solutions supporting analytics and business decision-making. Collaborate with product, analytics, and engineering teams to solve complex problems, improve data reliability, manage infrastructure, and enable fast insights. Responsibilities include developing data-intensive systems, working with cloud platforms and warehouses, applying infrastructure-as-code and CI/CD practices, and balancing scalability, cost, security, and delivery speed.

Build and improve production AI systems, including chatbots, autonomous account actions, document extraction pipelines, and LLM-driven case-management workflows. The role covers discovery, prototyping, deployment, evaluation, monitoring, prompt design, retrieval, agent workflows, and identifying manual processes suitable for automation.

Build and operate multi-account AWS platforms using Terraform, Kubernetes, GitOps, and observability tooling. Support production reliability, incident response, on-call operations, progressive delivery, CI/CD, developer tooling, and self-service platform capabilities. Apply security practices including policy-as-code, OIDC access, secret scanning, and pre-merge controls. Partner with engineering and security teams while developing increasing ownership of platform components.

Analyze pricing, loan funnel, and credit optimization opportunities within Lendable’s UK Loans team. Responsibilities include researching pricing strategy improvements, developing analytical models, collaborating with credit and product teams, working with large datasets, communicating findings to stakeholders, and gradually taking ownership of models. The role requires Python, SQL, statistical and machine learning knowledge, strong numerical ability, and effective teamwork.

Analyze pricing, funnel performance, and new product development for the UK Loans team. The role involves framing ambiguous business problems, defining metrics, conducting SQL-based analyses, evaluating pricing strategies, researching improvements, and communicating recommendations to stakeholders. The analyst will collaborate with credit and product teams, develop commercial and analytical expertise, and progressively take ownership of strategic analyses and initiatives.

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

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.

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.

Ten-week fintech internship focused on analyzing lending data, building models for default rates and NPV assumptions, and informing lending, pricing, and fraud decisions. The intern will conduct hypothesis testing, generate strategic insights, present findings to senior leaders, and collaborate with product and technology teams to implement improvements. Candidates should be analytical, curious, comfortable with complex datasets, and proficient in Python or SQL.