Lendable

Operations

• Own your function end-to-end: Embed deeply into your function, map current processes, and redesign them from first principles. Identify automation opportunities, eliminate inefficiencies and ensure the function consistently evidences good customer outcomes that align with the FCA’s Consumer Duty. Be the person who understands this part of the business better than anyone.
• Drive operational improvement through data: Pull and interpret data yourself to surface insights that improve how the function performs. Define the metrics that matter, build the monitoring to track them, and translate findings into clear recommendations for senior leadership.
• Deliver strategic initiatives: Scope and execute high-impact projects across your function and, over time, across the wider Operations division. Work cross-functionally with Product, Engineering, Data Science and Compliance to bring initiatives to completion and validate that they're working as intended.
• Influence without hierarchy: Present clearly and credibly to senior stakeholders. Approach every conversation with an open mind and let the quality of ideas do the work.
• Lead a team where applicable: In people management roles, hire, develop and motivate a team through a period of change, building a culture that challenges the status quo and holds itself to a high bar.

Strategy and Operations Manager

Financial Planning and Analysis

• As an excellent communicator, you will quickly build relationships with customers and other departments across Lendable to understand customer friction points and come to fair and objective decisions.
• You will be able to self manage a varied and complex caseload, identifying best contact mechanisms for customers and prioritising cases where appropriate to be highly productive and efficient, and to maintain the required level of performance against our KPI minimum standards.
• You will champion using our AI tools and technology to bring a first class service to our customers.
• You will work closely with the Complaints Team, to resolve complaints about our loans, cards and auto-finance products, as well as be responsible for feeding back to both frontline and product teams on product and process improvements across the Operations Team and wider Lendable business.
• You will ensure that you follow our complaint handling standards, have good record keeping skills and ensure that all decisions made are backed up with demonstrable evidence and rationale.
• You will be responsible for communicating with the complainant, either in writing or by phone and will enjoy finding solutions to issues raised, managing customer expectations and handling difficult situations with tact and professionalism.

Complaints Officer, Motor Finance

Systems Engineer

• Lead the implementation, administration, and continuous improvement of core IT systems
• Architect, build and maintain scripts, automations, and integrations between SaaS platforms and internal services
• Support InfoSec and compliance across the IT estate
• Ability to produce and maintain clear technical documentation, runbooks, and operational guides
• Work closely with internal stakeholders and external vendors to deliver high-quality technical implementations
• Provide hands-on support for day-to-day IT operations team

Senior IT Systems Engineer

Business Analyst

• Support the execution and optimization of marketing campaigns end to end — from targeting and creative through to post-campaign analysis
• Build and maintain monitoring and reporting infrastructure across key areas of the business
• Diagnose changes in performance metrics and present root-cause findings
• Develop and prove out business hypotheses with data
• Analyze customer acquisition channel performance and economics
• Conduct competitive and market analysis to inform our strategy

QA Engineer

• Own the mobile test strategy: Define and evolve a pragmatic test pyramid for React Native - deciding where E2E is worth the weight and where logic belongs in faster layers (Jest, React Testing Library, component tests).
• Build reliable E2E automation: Create and maintain mobile E2E suites in Maestro, including the scaffolding around them - test data, device configuration, helpers, reporting.
• Bring AI into the SDLC: Use AI tools day-to-day to accelerate test authoring, cluster failures, surface coverage insights, and propose fixes.
• Prevent defects, not just catch them: Partner with product and engineering on shift-left quality: join specs early, push back on ambiguous acceptance criteria, and surface risk before code is written.

Senior Quality Engineer

Analyst

• Assist in developing Lendable's capital markets strategy to fund over £2.5bn per annum in 2026.
• Manage strategic funding projects on tight timeframes through to execution
• Originate and execute new transactions (including direct lending through forward flow agreements, private and public asset-backed financing arrangements, and new fund launches).
• Manage investor relationships (including banks, investment banks, asset managers, hedge funds, insurance companies, pension funds, high net worth investors and family offices).
• Arrange and run due diligence sessions for new investors.
• Assist in the running of the Lendable funds.
• Assist in the development of funding strategies for new product launches.
• Support senior management and founders on the assessment of strategic initiatives and corporate development projects.

Capital Markets Analyst – Associate

AI Engineer

• Build AI on top of our cloud closing agent pronto
• Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more)
• Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business
• Work with security and data governance requirements to ensure integrations are safe and appropriate
• Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools
• Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely
• Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions
• Work closely with the PM and engineering lead to identify the highest-leverage opportunities
• Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn
• Stay curious about emerging tools and techniques — and apply them where they'll genuinely make a difference to our engineering output

Senior AI Engineer, AI Engineering

Frontend Engineer

• Own delivery of significant React features on the Zable website, taking work from idea and technical design through to implementation, release and follow up based on data and feedback.
• Work in a cross functional SuperApp team to break down roadmap items into clear, deliverable tasks, help sequence the work, and keep the board flowing.
• Write clear, maintainable React and TypeScript code that integrates with our existing stack for web (for example React, TypeScript, NextJS, styling and shared components), following team patterns and contributing improvements where it makes sense.
• Raise the bar on testing and reliability by adding and maintaining unit and integration tests, and helping to keep end to end tests meaningful and stable for your area of the Zable website.
• Improve performance and user experience on the Zable website by paying attention to metrics such as load time, responsiveness and error rates, and working with others to address bottlenecks and defects.
• Collaborate in design and discovery with product managers and designers, giving input on feasibility, trade offs and edge cases, and suggesting simpler ways to solve customer problems when you see them.
• Support and mentor other engineers in the team through thoughtful code reviews, pairing sessions and sharing context, so that the whole team can move faster and more safely.

Senior Frontend Engineer

Backend Engineer

• Join our Mexico expansion team, helping to drive us towards the launch of a new mobile finance product that aims to further our international growth.
• Be part of a small cross-functional product team with a startup mindset, operating within one of Europe’s most successful, profitable fintechs.
• Support the initial build of a new product offering for this new market.
• Build relationships with other established product teams to influence decisions and align on approaches.
• Collaborate with frontend engineers to guide and agree API behaviours and expectations through documented contracts.
• Work closely with product stakeholders to agree on MVP requirements.

Senior PHP Engineer – International Expansion

Data Scientist

• Drive Product Analytics
• Be the dedicated analytical leader for the Zable app, deeply understanding user behavior and engagement drivers to identify high-impact opportunities
• Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behavior, overall app health, and business performance
• Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points
• Apply data science techniques to build predictive models for user behavior, churn risk, and uplift modeling to inform proactive product decisions
• Drive Experimentation & Testing
• Own the end-to-end A/B testing process, including experimental design, execution, analysis and recommendations
• Establish experimentation standards and best practices, including test design, statistical rigour, and result interpretation
• Shape Strategy & Decision-Making
• Challenge assumptions and provide data-driven perspectives that shape strategic discussions and roadmap planning
• Proactively partner with product managers, analysts and engineers to embed data into the daily decision-making flow and translate complex findings into clear business recommendations
• Establish Analytical Excellence
• Define and champion analytics best practices, standards, and methodologies within the growth analytics team

Senior Product Data Scientist

Product Manager

• Driving product and growth initiatives
• Improving customer journeys, product features and servicing experiences
• Using data and customer insights to prioritise product opportunities
• Defining MVPs and validating ideas before committing engineering resources
• Working closely with engineering teams to deliver high impact improvements
• Building operational leverage and AI-enabled workflows
• Improving internal tooling and operational workflows
• Driving adoption of AI tools across the team
• Supporting development of AI-powered customer support and servicing
• Automating manual operational processes where possible
• Helping teams make faster and better decisions through better workflows
• Owning cross functional problem solving
• Identifying operational bottlenecks and driving improvements
• Coordinating complex initiatives across multiple teams
• Translating ambiguous business problems into impactful plans

Product Manager – UK Cards

People Operations

• AI and Automation Strategy: Audit existing manual HR workflows (contract generation, reference checks, benefits enrollment etc.) and partner with the wider team to create AI-driven solutions to increase efficiency and improve the employee experience.
• Compliance and Right to Work: Take full ownership of UK compliance, including accurate end-to-end management of Right to Work checks and Visa sponsorship/management.
• Systems Management: Maintain a high bar for HR System management (Bamboo HR, Deel), ensuring all digital employee files and contracts are accurate, and optimising the system for better data flow.
• Employee Lifecycle: Oversee and enhance the HR lifecycle of an employee, ensuring that our processes are scalable and people centric. This includes owning our family leave and flexible working processes.
• Employee Relations: Act as a key support for our colleagues, managers and People Partners; specifically focusing on managing the probation review cycle and overseeing absence management processes.
• Data and Insights: Own HR reporting and analytics, producing key insights for People Partners and Business Leaders to drive forward the People agenda.
• People Partnership: collaborate with our internal People team to deliver team and company goals.

People Operations Specialist

• Define and refine credit strategies that align with our evolving portfolio goals.
• Discover insights from data using tools like Python and SQL to address key business questions.
• Collaborate cross-functionally with product, engineering, data, and operations teams to implement strategies.
• Monitor and assess the success of implemented strategies and continuously identify areas for improvement.

Senior Credit Risk Analyst

• Driving product and growth initiatives
• Identify opportunities to improve customer experience, engagement, conversion and business performance
• Designing and running experiments across acquisition, onboarding, engagement and retention
• Improving customer journeys, product features and servicing experiences
• Using data and customer insights to prioritise product opportunities
• Defining MVPs and validating ideas before committing engineering resources
• Working closely with engineering teams to deliver high impact improvements
• Building operational leverage and AI-enabled workflows
• Improving internal tooling and operational workflows
• Driving adoption of AI tools across the team (Claude, Cursor and other emerging tooling)
• Supporting development of AI-powered customer support and servicing
• Automating manual operational processes where possible
• Helping teams make faster and better decisions through better workflows
• Owning cross functional problem solving
• Identifying operational bottlenecks and driving improvements
• Coordinating complex initiatives across multiple teams
• Translating ambiguous business problems into impactful plans
• Balancing customer outcomes with commercial and operational constraints

Senior Product Manager – UK Cards

• Develop and deploy machine learning models that improve underwriting, pricing and customer management decisions.
• Work with large and complex datasets to generate insights that influence credit and commercial strategy.
• Take ownership of models and decision systems throughout their lifecycle, from research and development through production monitoring and iteration.
• Collaborate with stakeholders across the business to translate ambiguous problems into measurable outcomes.
• Contribute to the team’s technical knowledge through idea sharing, experimentation and continuous learning.