Lendable

Data Analyst

• Use Python and LLM APIs to design and deploy automation that replaces manual CS/FS processes.
• Build prototypes, test with real operations data, and scale the successful ones into production workflows.
• Partner with PMs and engineers to operationalise AI-driven solutions across Operations.
• Analyse key operations demand drivers and identify levers to reduce avoidable demand.
• Build clear, robust KPI frameworks and translate data into commercial insight.
• Work directly with Ops Directors and senior leadership on strategic initiatives and own analytics for high-impact projects.

Accountant

• Prepare monthly financial statements for group companies, including balance sheet, P&L and cash flows, ensuring accuracy and delivery within set timelines.
• Prepare individual product P&Ls, you will also be responsible for ensuring necessary balance sheet reconciliations are completed for our products.
• Manage accounting records and financial controls, ensuring compliance with company accounting policies and the relevant accounting standards.
• Support the continuous improvement of financial controls across all existing and new areas of the business.
• Research and develop documentation on the financial reporting treatment for new and developing products across the business.
• Assist in preparation and support for the annual audit of the financial statements.

Senior Accountant

• Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency. Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose.
• Financial forecasting & portfolio analytics: Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy.
• Evaluate expansion opportunities: Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations.
• Influence & execution: Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. Present insights and recommendations to senior leadership - clear, concise, and backed by data. Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy. Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed.
• Build & mentor a small team of analysts: In time, you will hire, develop and mentor a small team of high-calibre analysts, fostering both technical growth and strategic thinking. Build a culture where people seamlessly collaborate across functions, challenge the status quo, and consistently deliver best-in-class, customer-first solutions.

Strategy Analytics Manager

Data Scientist

• You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams.
• Work in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own models.
• Be resourceful to solve problems and find smarter solutions than the status quo.
• Work closely with other members of the team that will support developing your technical expertise and domain knowledge.
• Learn the domain of products that Lendable serves, understanding the data that informs strategy and modelling is essential to being able to successfully contribute value.
• Research and propose improvements to our existing strategies and modelling methodology.
• Clearly communicate results to stakeholders through verbal and written communication.
• Share ideas with the wider team, learn from and contribute to the body of knowledge.

Junior Data Scientist

• You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams.
• Work in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own models.
• Research and propose improvements to our existing strategies and modelling methodology.
• Clearly communicate results to stakeholders through verbal and written communication.

Junior Pricing Data Scientist

Security Analyst

• Security Operations: Reviewing inbound requests from the Secure Operations Centre and helping to prioritise and raise awareness of security events.
• Vendor Security Reviews: Execute vendor security assessments and due diligence reviews for new and existing third-party suppliers, maintaining required documentation for the Vendor Governance Forum.
• Audit Support: Assist the team in achieving and maintaining compliance with key regulatory and industry frameworks, including GDPR, ISO 27001, SOC 2, and PCI DSS, by working with stakeholders to gather evidence and documenting controls.
• Policy & Standards: Help translate high-level security policies into practical, actionable security standards and control requirements for engineering teams.
• Risk Reporting: Document and track identified risks from AppSec, vendor reviews, and operations, ensuring they are accurately captured and reported.
• Security Training: Support the delivery of security awareness and training programs tailored for technical and non-technical staff.
• Security Programmes: Working with Product teams to execute and improve security programmes such as Disaster Recovery.

Cyber Security Analyst

Security Engineer

• Secure Development: Work directly with engineering teams to embed security best practices throughout the SDLC.
• Automation: Implement, maintain, and tune DevSecOps tools and pipelines (SAST, DAST, SCA) to automatically identify and remediate security flaws in code and infrastructure.
• Threat Modelling: Conduct and facilitate threat modelling sessions for new features and systems to proactively identify design-level risks.
• Vulnerability Management: Triage, validate, and track vulnerabilities identified across applications and infrastructure, driving efficient remediation efforts.
• Security Architecture: Provide technical advice on the secure design and configuration of our cloud environment (AWS/GCP) and associated technologies (Kubernetes, GitOps, Snowflake, Vault).
• Vendor Security Reviews: Execute vendor security assessments and due diligence reviews for new and existing third-party suppliers, maintaining required documentation for the Vendor Governance Forum.
• Audit Support: Assist the team in achieving and maintaining compliance with key regulatory and industry frameworks, including GDPR, ISO 27001, SOC2, and PCI DSS, by gathering evidence and documenting controls.
• Policy & Standards: Help translate high-level security policies into practical, actionable security standards and control requirements for engineering teams.
• Risk Reporting: Document and track identified risks from AppSec, vendor reviews, and operations, ensuring they are accurately captured and reported.
• Security Training: Support the delivery of security awareness and training programs tailored for technical and non-technical staff.

Staff Cyber Security Engineer

Marketing Analyst

• Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation
• Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution
• Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies
• Co-operate with product and credit teams to ensure mid to deep funnel performance is improved.
• Influence data architecture by contributing to schema design that enable more insights
• Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility
• Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments.
• Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas.

Senior Marketing Analyst

• Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation.
• Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution.
• Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies.
• Co-operate with product and credit teams to ensure mid to deep funnel performance is improved.
• Influence data architecture by contributing to schema design that enable more insights.
• Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility.
• Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments.
• Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas.

Senior Data Analyst, Marketing

Analyst

• Build a high-performing credit card portfolio with ambitious growth targets and a commitment to responsible lending.
• Optimize credit decisioning including who to lend to, limits to set, and rates to offer.
• Stay ahead of economic trends, adapting strategies accordingly.
• Develop and own models that forecast returns and drive investor reporting.
• Define and refine credit strategies that align with evolving portfolio goals.
• Discover data-driven insights using Python and SQL to address key business questions.
• Collaborate cross-functionally with product, engineering, data, and operations teams to implement and improve strategies.
• Continuously monitor the effectiveness of credit strategies and identify areas for improvement.

Senior Credit Risk Analyst

Manager

Credit Risk Manager

Account Manager

• You will manage comparison site partner onboarding, analysis and improvement, optimising them for volume, cost and credit quality as we ramp up volumes.
• You will manage partner relationships across strategic and day-to-day activity, to sustainably grow lending volumes, balancing focus on large strategic partners with incubating new exciting ideas.
• Key to the role is preparing all kinds of different analyses: pulling out the most important insights to ensure we make good decisions with our partnerships.
• You will combine quantitative and qualitative judgements to triage ideas and strategies; focusing our efforts on the key levers for growth.
• You will be trusted to negotiate customer acquisition costs and commissions with key partners, identifying areas for cost optimisations.
• The role progression includes gradually owning the full responsibility for strategy and execution of specific partner projects, marketing efforts or product enhancements that deliver business growth.

Commercial Partnerships Associate

• Build and deploy models that contribute to the success of the business.
• Stay up to date with the latest advancements in machine learning and credit risk modelling proactively proposing new approaches and projects that drive innovation.
• Extract, parse, clean and transform data for use in machine learning.
• Clearly communicate results to stakeholders through verbal and written communication.
• Mentor other data scientists and promote best practices throughout the team and business.

Senior Data Scientist

Affiliate Manager

• Own the end-to-end candidate experience, ensuring every touchpoint reflects our values and culture.
• Coordinate complex, global interview schedules across multiple time zones.
• Be the first point of contact for candidates, providing timely and thoughtful communication.
• Monitor and analyse candidate Net Promoter Score (NPS) feedback, turning insights into action.
• Partner closely with recruiters and hiring managers to streamline processes and optimise efficiency.
• Manage and enhance our ATS (Ashby) to improve workflow and visibility.
• Continuously refresh candidate messaging so it’s clear, warm, and engaging.
• Drive improvement projects that raise the bar for the overall candidate experience.

Talent Experience Partner

• You’ll uncover and engage best-in-market passive talent using creative, multi-channel sourcing approaches (and probably a few we haven’t seen yet!)
• You’ll thrive as a business partner to leaders, guiding stakeholder conversations and influencing decisions with data, insight, and empathy.
• You’ll navigate a scaling, fast-paced environment.
• You’ll hustle cross-functionally and champion collaborative hiring best practices at every turn.
• Through it all, you’ll interrogate our processes with a highly analytical mindset, always hunting for opportunities to hire not only faster but smarter.

Senior Talent Partner

Backend Engineer

• Build and integrate new APIs to enhance the customer journey
• Optimise lending platforms
• Engage in deep architectural discussions
• Work across backend, frontend, mobile, and platform disciplines within engineering organisation
• Work on tasks from building APIs to system optimisation

Junior PHP Engineer

Full-stack Engineer

• Develop new tooling for product teams to boost their efficiency
• Maintain, evolve and scale data infrastructure solutions on AWS and Snowflake
• Onboard new ingestion sources and maintain smooth running and monitoring
• Ensure platform robustness through automated testing and monitoring of data pipelines
• Collaborate with stakeholders to translate business requirements into scalable technical solutions
• Optimise CI/CD pipelines for faster cycle times and increased reliability
• Implement security best practices for data management and infrastructure
• Design and deploy infrastructure as code to manage cloud resources efficiently
• Troubleshoot and resolve production issues to minimise downtime and improve user satisfaction

Senior Software Engineer, Data

• Build and integrate new APIs that elevate the customer journey.
• Optimise lending platforms.
• Participate in deep architectural discussions and shape product future.
• Work across UK, US and International Expansion product teams, Zable Card, Autolend, Lendable Loans, and Internal Tools teams.
• Engage in backend engineering within a team of 160+ engineers covering backend, frontend, mobile, and platform disciplines.
• Contribute to automated testing and CI/CD practices (GitHub Actions, ArgoCD).

Senior PHP Engineer

QA Engineer

• Lendable: mission to make consumer finance faster, cheaper, and friendlier; fintech scaling loans, credit cards and car finance.
• Fraud and Financial Crime Quality Assurance Analyst to conduct QA reviews on the output of Fraud and Financial Crime teams.
• Review customer interactions against business processes to ensure excellent service and consistent good customer outcomes.
• Work closely with Quality Assurance and Fraud and Financial Crime teams to complete assessments, spot areas for improvement, and drive operational strategy.
• Complete QA assessments including reviews of PEPs and Sanctions, Loan and Card Fraud claims, and Card Disputes; provide clear, constructive feedback and collaborate with agents and investigators.
• Identify trends, support onboarding and training, uphold customer-centric approach, and recommend remediation where necessary.
• Meet personal targets, use AI and digital tools to streamline interactions, identify blockers, and ensure data integrity for audit and learning purposes.
• Provide feedback to enhance knowledge base, participate in process reviews, and stay up to date with system, product, and process changes.
• Respond positively to coaching, demonstrate initiative in learning new tools, and share knowledge to support colleagues.

QA Analyst, Fraud and Financial Crime

• Lead, coach and inspire a team of Quality Assurance Analysts to deliver high-quality QA reviews and meet KPIs
• Monitor and analyse KPIs, MI and feedback to assess performance and identify trends
• Design and implement action plans to uplift service quality and efficiency
• Lead process excellence initiatives, refine procedures and collaborate with risk owners
• Own key projects and make decisions to deliver results with minimal guidance
• Support automation and system enhancements through cross-functional collaboration
• Ensure quality assessments meet business, regulatory and compliance standards
• Communicate performance, risks and improvement recommendations to stakeholders and Heads of Department

Quality Assurance Team Leader

• Join People Team within Talent Team; core focus on Tech hiring (Engineering, Product, Data, Design).
• 12 month fixed term contract.
• First 6 months: build hiring manager relationships, learn hiring processes, be self-sufficient, help meet hiring targets while ensuring top-tier candidate experience.
• Support hiring for Technology teams and keep candidates engaged and informed at every stage, including meeting and greeting in the office.
• Become subject matter expert in FinTech talent and use data-driven insights to improve workflows.
• Maintain ATS data integrity and collaborate with wider People team.