Jobs at Lendable

Analyze operations demand drivers, build KPI and funnel frameworks, identify cost and efficiency opportunities, and deliver commercially grounded recommendations to senior leadership. Develop Python- and LLM-based automation prototypes, test them with operations data, and partner with product managers and engineers to scale successful solutions into production workflows.

Senior Strategy Analyst responsible for pricing and promotions, financial forecasting, portfolio analytics, growth optimization, product and market expansion assessments, and commercial strategy. The role uses data analysis, experimentation, KPI monitoring, and financial modeling to support responsible growth. Responsibilities include collaborating with Credit Risk, Data Science, Product, and Growth teams, presenting recommendations to leadership, validating implemented strategies, and mentoring junior analysts.

Twelve-week credit analysis internship involving data analysis, financial modeling, hypothesis testing, and lending strategy. The intern will use Python or SQL to analyze credit, default, pricing, and fraud data; inform NPV assumptions and lending decisions; assess economic and competitive changes; and present findings to senior leaders. They will also collaborate with product and technology teams to implement recommendations.

Build and integrate APIs, optimize lending platforms, contribute to architectural decisions, and deliver high-quality PHP software. The role involves backend product engineering across collaborative, cross-functional teams, using Symfony or Laravel, automated testing, microservices, and event-driven design. Engineers are expected to demonstrate ownership, autonomy, strong business judgment, and a commitment to continuous learning.

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.

Own D2C performance marketing acquisition across the US and Mexico. Manage Meta, Google Ads, TikTok, budgets, creative testing, attribution, conversion tracking, funnel optimization, and channel scaling. Build new-market growth playbooks, collaborate with creators, adapt messaging for cultural and linguistic differences, and use analytical testing to improve customer acquisition efficiency.

Own post-booking product areas for US credit cards, including payments, collections, credit limit increases, spending, and the mobile app. Run customer experiments, conduct research, collaborate with credit risk and data science, prototype solutions with AI, build automations, and launch improvements. The role requires comfort with ambiguity, data-driven decision-making, rapid testing, and hands-on execution across product, engineering, operations, legal, and compliance.

Own post-booking credit card product areas including payments, collections, credit limit increases, spending, and the mobile app. Run customer experiments, conduct research, use data and AI to test opportunities, collaborate with credit risk and data science, build automations, and deliver solutions with engineering, operations, legal, and compliance teams.

Build and improve production AI systems including chatbots, document extraction pipelines, LLM workflows, and voice AI. Responsibilities span discovery, prototyping, Python development, deployment, evaluation, monitoring, and process automation. The role requires applying LLMs, retrieval systems, prompts, and agent workflows to simplify financial-services operations and autonomously complete customer account actions.

Build and improve production AI systems for fintech operations, including chatbots, document extraction pipelines, LLM workflows, and autonomous account actions. Responsibilities span opportunity discovery, rapid prototyping, prompt and retrieval optimization, deployment, evaluation, monitoring, and process automation. The role requires strong Python engineering, practical LLM experience, sound judgment in ambiguous situations, and the ability to communicate trade-offs and influence stakeholders.

Own end-to-end product design for Zable’s financial SuperApp, leading discovery, research, design delivery, usability testing, experimentation, and production-ready experiences. Collaborate closely with product and engineering, contribute to the design system, apply accessibility and Consumer Duty standards, use AI throughout the workflow, mentor designers, and raise design quality through critiques and evidence-based decision-making.

Lead Operations analytics partnering with senior operations leaders to own MI, KPIs, forecasting and workflow optimisation. Hands-on role delivering SQL/Python analyses, measuring automation/AI impact, guiding resourcing decisions and translating results into action.

Own the mobile quality strategy for a React Native app, building reliable automated tests, CI tooling, test frameworks, fixtures, and performance benchmarks. Establish testing standards, reduce flakiness, improve release confidence, and use AI to accelerate test authoring and failure analysis. Partner with product and engineering teams on shift-left quality, observability, SLOs, exploratory testing, and measurable defect prevention across multiple teams.

Own the UK loans origination funnel and onboarding journey, improving conversion across web and app experiences. Responsibilities include product strategy, roadmap definition, engineering delivery, hypothesis-driven testing, data analysis using Python or SQL, AI-enabled workflow automation, stakeholder collaboration, compliance-aware innovation, and third-party partnerships. The role requires independent product ownership, prioritization, communication, and effective collaboration across Engineering, Credit, Data Science, Finance, Design, Growth, and Operations.

Build and improve analytical data models supporting lending decisions, pricing, portfolio analysis, and investor reporting. Develop reliable ELT pipelines and transformation workflows using the company’s modern data stack. Collaborate with analysts, product teams, engineers, and stakeholders to translate requirements into robust datasets, resolve pipeline issues, improve data quality, and strengthen analytics engineering standards, scalability, maintainability, and cost-effectiveness.

Own monthly close for UK group companies, prepare product-level P&Ls and consolidated financial statements, automate balance sheet reconciliations, investigate variances, manage high-volume financial data, support financial controls and policies, and assist with annual audits.

Manage end-to-end Data Subject Access Requests and other data rights requests, tracking statutory deadlines, locating and compiling customer data, applying redactions and exemptions, maintaining auditable records, and communicating outcomes to customers. The role also involves escalating complex cases, improving DSAR processes and tooling, collaborating across teams, and maintaining knowledge of UK GDPR, the Data Protection Act 2018, and ICO guidance.

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.

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.