Lendable

What you'll do 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. What we're looking for Bachelor's degree or above. Strong modelling, cashflow forecasting and Excel skills. Experience modelling consumer asset portfolios in Python. Strong written and verbal communication skills with close attention to detail. Excited about the opportunity to work in an entrepreneurial environment and have a real impact on the business. Life at Lendable The opportunity to scale up one of the world's most successful fintech companies. Best-in-class compensation, including equity. You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas. Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday. We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance. We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.

A leading fintech company is seeking professionals to assist in developing its capital markets strategy to fund over £2.5bn annually. You will manage strategic funding projects, originate and execute transactions, and oversee investor relationships. Candidates should hold a Bachelor's degree and possess strong modelling, cashflow forecasting, Excel, and Python skills. The position offers flexible work arrangements in London, including homeworking on certain days, and best-in-class compensation including equity.

Lendable is looking for a Senior Data Platform Engineer to join our team in Greater London. This role involves owning end-to-end projects to solve business challenges and deliver scalable solutions. You will work closely with product and engineering teams and have the autonomy to make impactful decisions. We offer a hybrid work model with additional perks such as health coverage and a flexible work schedule. Experience with Python, AWS, and Snowflake is desired, but candidates with strong programming skills are encouraged to apply.

Lendable is looking for a hands-on AI Engineer to join their Internal Automation team in Greater London. In this role, you'll develop AI-powered integrations and tools to enhance efficiency across the company. The ideal candidate will have 4+ years of software engineering experience with strong skills in Python or TypeScript, along with a proven track record in building AI tooling in a commercial environment. Lendable promotes a flexible working culture, requiring in-office attendance three days a week for hybrid roles.

Lendable is seeking a Senior Software Engineer (Data) to enhance and scale its data infrastructure in Greater London. The role involves developing tooling, maintaining AWS and Snowflake data solutions, and implementing security best practices. Ideal candidates will have strong software development skills, particularly in Python, along with experience in cloud services and infrastructure as code, preferably Terraform. Flexible working options include hybrid roles requiring three days in-office. Competitive health cover and retirement plans are provided.

Lendable is seeking a Frontend Software Engineer to join its US loans team, focusing on the Unsecured Loans product. The ideal candidate will have 3+ years of experience, strong skills in Typescript and React, and a collaborative mindset. Responsibilities include building user journeys and optimising conversion rates. The role offers a hybrid working model requiring three days in the office, health coverage, and a competitive salary. Lendable is one of the UK's fastest-growing fintech companies, providing an opportunity to be part of a winning team.

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the Role As a Senior Data Platform Engineer, you'll own projects end-to-end, from problem definition through to delivery and iteration. The role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions. You'll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively. Data Platform sits at the centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security. Our Modern Tech Stack You'll work across a broad set of technologies as we evolve the platform. Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset What we're looking for Strong fundamentals and the ability to apply them pragmatically: Solid programming ability (Python or similar) Strong experience with Snowflake (or similar warehouses) Good understanding of software engineering patterns and architectures Experience building data-intensive systems Cloud experience (AWS preferred) Infrastructure as code (Terraform ideally) CI/CD best practices Familiarity with modern data architectures (Lambda/Kappa) Just as importantly, how you work: A self-starter who takes ownership and drives work forward Strong problem solver who focuses on understanding before building Good judgement on build vs buy decisions Comfortable working in ambiguity and shaping direction Clear communicator across technical and non-technical audiences Able to manage multiple streams of work without losing momentum Pragmatic, balancing speed with scalability and reliability Actively looks to improve ways of working, including leveraging AI tooling Interview process Initial call with Talent team Take-home technical task Technical interview Final interview with VP of Platform Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog!

Lendable in Greater London is seeking a talented Data Scientist to join the Cards Data Science team. In this pivotal role, you will focus on developing machine learning models to enhance decision-making within our UK credit cards business. The ideal candidate will possess strong programming skills in Python and SQL, and a solid understanding of statistics and machine learning. You will work with large datasets, directly influencing credit strategy and business growth. Lendable offers a hybrid working environment and a range of employee benefits to support well-being and professional development.

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Senior Data Scientist to join our Cards Data Science team. Data Science sits at the heart of Lendable's competitive advantage. Our proprietary machine learning models power underwriting, pricing, credit strategy and customer management decisions across millions of lending decisions. This role will focus on our UK credit cards business, working across both acquisitions and customer management. You'll work with large-scale, high-dimensional datasets to develop models and strategies that directly influence growth, risk and profitability. The role combines deep quantitative work with product and commercial thinking. Successful candidates are excited by autonomy, solving difficult problems, moving quickly, experimenting rigorously and influencing strategy through data. We value intellectual curiosity and an interest in emerging machine learning techniques and their practical application. As you grow in the role, there is significant flexibility to shape your trajectory - whether toward advanced modelling and research, commercial optimisation and strategy, or broader technical ownership. Our team's objectives The Data Science team develops proprietary behavioural and underwriting models using state-of-the-art machine learning techniques and a diverse range of data sources. Data scientists work closely with product, engineering, credit risk and commercial teams to identify opportunities, translate business problems into quantitative frameworks, and deliver solutions that materially improve business performance. We operate with a high degree of ownership and autonomy. Data scientists are responsible not only for developing models, but also for deploying, monitoring and continuously improving them in production. We value rigorous thinking, intellectual curiosity and fast execution. Research is important, but practical impact matters equally. How you'll impact those objectives 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. Key Skills Strong programming skills in Python and SQL. Understanding of statistics, machine learning and quantitative problem solving. Ability to approach ambiguous problems with structure and pragmatism. Curious, fast-moving and highly collaborative mindset. Nice to have Interest in advanced machine learning techniques and applied research. Experience in credit risk, lending or broader financial services. Interest in machine learning infrastructure and optimisation. The interview process We're not corporate, so we try our best to get things moving as quickly as possible. For this role, we'd expect: Recruiter call Take Home Task Technical Interview Case study Final interview Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Data Scientist to join our Cards Data Science team. Data Science sits at the heart of Lendable's competitive advantage. Our proprietary machine learning models power underwriting, pricing, credit strategy and customer management decisions across millions of lending decisions. This role will focus on our UK credit cards business, working across both acquisitions and customer management. You'll work with large-scale, high-dimensional datasets to develop models and strategies that directly influence growth, risk and profitability. The role combines deep quantitative work with product and commercial thinking. Successful candidates are excited by autonomy, solving difficult problems, moving quickly, experimenting rigorously and influencing strategy through data. We value intellectual curiosity and an interest in emerging machine learning techniques and their practical application. As you grow in the role, there is significant flexibility to shape your trajectory - whether toward advanced modelling and research, commercial optimisation and strategy, or broader technical ownership. Our team's objectives The Data Science team develops proprietary behavioural and underwriting models using state-of-the-art machine learning techniques and a diverse range of data sources. Data scientists work closely with product, engineering, credit risk and commercial teams to identify opportunities, translate business problems into quantitative frameworks, and deliver solutions that materially improve business performance. We operate with a high degree of ownership and autonomy. Data scientists are responsible not only for developing models, but also for deploying, monitoring and continuously improving them in production. We value rigorous thinking, intellectual curiosity and fast execution. Research is important, but practical impact matters equally. How you'll impact those objectives 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. Key Skills Strong programming skills in Python and SQL. Understanding of statistics, machine learning and quantitative problem solving. Ability to approach ambiguous problems with structure and pragmatism. Curious, fast-moving and highly collaborative mindset. Nice to have Interest in advanced machine learning techniques and applied research. Experience in credit risk, lending or broader financial services. Interest in machine learning infrastructure and optimisation. The interview process We're not corporate, so we try our best to get things moving as quickly as possible. For this role, we'd expect: Recruiter call Take Home Task Technical Interview Case study Final interview Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting. We're looking for a hands on AI Engineer contractor to join our Internal Automation team at Lendable and help us make the whole company more efficient. Our mission is to supercharge internal teams - from Finance and Compliance to Product, QA and beyond - by building AI powered tools, integrations and automated workflows. You'll be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high value work. This is a role where you'll see the direct impact of what you build. You'll ship an integration and watch it save hours of manual work. You'll build a tool and see a team adopt it the same week. If you're motivated by solving real problems and seeing your work make a tangible difference, this is for you. We need someone who takes full ownership - not just writing code, but thinking through the problem, designing the solution, shipping it, and making sure it keeps working. You'll own your work from "what should we build?" through to "is it still delivering value?". You'll also be working at the frontier of AI tooling - building with LLMs, experimenting with new approaches, and figuring out what's possible. What you'll be doing Build AI integrations and data sources 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. Enable others to build with AI 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. Deliver measurable impact 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 move the needle. What we're looking for Essential 4+ years of software engineering experience. Strong full stack skills in Python or TypeScript. Experience shipping containerised software to Kubernetes. Proven experience building AI tooling used by others in a commercial environment. Comfortable working with LLMs, embeddings and AI application patterns. Experience designing and building API integrations. Self starter who takes ownership end to end - from understanding the problem, through design and implementation, to monitoring and iteration. Motivated by impact - you want to see your work used and making a difference. Nice to have Experience with workflow automation tools (n8n, Zapier, Make or similar). Familiarity with vector databases (Pinecone, Weaviate, pgvector). Experience with AWS Bedrock or other LLM provider APIs. Experience of building and rolling out MCPs. Experience of building and rolling out AI Skills. Frontend skills with Next.js or React for internal tooling. Interview process Screening call with Hiring Manager. Technical interview based on a theoretical task. Interview with Product Manager. Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies. Flexible working: flexible approach tailored to each role. Hybrid roles require three days in office weekly; fully remote roles include regular opportunities for in person connection through socials and off sites. Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls. Health coverage: support for your physical and mental wellbeing, including private health cover. Retirement & savings: long term financial wellbeing through retirement savings plans. Employee referral programme: earn a competitive bonus when you refer successful new team members. Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in house chefs on in office days at select locations. Sustainable commuting: cycle to work and electric vehicle salary sacrifice schemes available in select locations. Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

Lendable is seeking a Senior Data Scientist to join the Cards Data Science team. This role involves developing machine learning models that improve underwriting, pricing, and customer management decisions. Candidates should have strong programming skills in Python and SQL, with a collaborative mindset and the ability to approach ambiguous problems. The position offers a hybrid work model and opportunities for personal and professional growth.

About the Role As a Senior Software Engineer (Data), you'll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost efficient. You'll work with AWS, Snowflake, Python, and Terraform, building tooling, and onboarding new data sources. You'll collaborate closely with teams across the business, ensuring our platform is secure, scalable, and easy to use. What will you be doing? Develop new tooling for product teams to boost their efficiency. Work with the wider team in maintaining, evolving and scaling 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 aligned to the expected scaling of Lendable. Collaborate with stakeholders to translate business requirements into scalable technical solutions. Optimise existing CI/CD pipelines for faster cycle times and increased reliability. Implement security best practices for data management and infrastructure on cloud platforms. Design and deploy infrastructure as code to manage cloud resources efficiently. Assist in the troubleshooting and resolution of production issues to minimise downtime and improve user satisfaction. What we're looking for Strong software development, particularly in Python or a similar language. Solid engineering practices, including automated testing, deployment systems, and configuration as code. Experience with building data intensive applications and containerised services. Experience with cloud services such as AWS, GCP, or equivalent (preference for AWS). Experience with infrastructure as code, preferably Terraform. Knowledge of columnar databases, such as Snowflake. Experience in developing and optimising CI/CD pipelines, with a preference for GitHub Actions. Excellent communication skills for effective collaboration with business analysts and stakeholders, ensuring technical solutions meet business needs. Experience with data ingestion tools, like Fivetran. Advantageous Exposure to deploying applications with Kubernetes. Experience with Data Orchestrator tools (Airflow, Prefect, etc.). Experience with Data Observability tools (Montecarlo, Great Expectations, etc.). Experience with Data Catalog tools (Amundsen, OpenMetadata, etc.). Benefits Winning team: the opportunity to scale up one of the world's most successful fintech companies. Flexible working: flexible approach tailored to each role. Hybrid roles require three days in office weekly; fully remote roles include regular opportunities for in person connection through socials and off sites. Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls. Health coverage: support for your physical and mental wellbeing, including private health cover. Retirement & savings: long term financial wellbeing through retirement savings plans. Employee referral programme: earn a competitive bonus when you refer successful new team members. Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in house chefs on in office days at select locations. Sustainable commuting: cycle to work and electric vehicle salary sacrifice schemes available in select locations.

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting We're looking for a Senior Platform Engineer to help us scale the multi-account AWS platforms that now power Lendable products across the UK, US and Mexico, supporting the hundreds of engineers shipping on top of them. You'll be joining a Platform Engineering team of eight, reporting to our Platform Engineering Manager. This is a senior, hands on role in a production environment where minutes of downtime translate directly into customer impact. You'll take ownership of key parts of our platform, driving technical direction and making pragmatic trade offs between reliability, cost, and developer experience. We build with self service in mind, creating paved roads, abstractions, and guardrails that enable product teams to move fast without needing to understand the underlying complexity. Your responsibilities will include Design and manage core AWS infrastructure via Terraform and Terragrunt Build and operate robust Kubernetes, GitOps and observability tooling Shape how engineering teams ship to production, progressive rollouts, canary deploys and fast, safe rollbacks Bake security into the SDLC, policy as code, OIDC based cloud access, secret scanning and pre merge controls, working closely with our Security team Partner with engineering teams on infrastructure, database and deployment best practices Provide and continuously improve CI/CD and developer tooling Share an on call rotation with the team, supported by the observability and tooling you help build We make use of AI assisted tooling (e.g. code generation, debugging, and platform operations). You're either already comfortable working this way, or excited to adopt it. Your experience Production experience running Kubernetes at scale, not just deploying to it, but operating it. Proven ability to improve developer experience and platform adoption across teams Deep cloud experience, ideally on AWS. Strong infrastructure as code skills with Terraform (Terragrunt a bonus). Hands on experience with a modern observability stack including Datadog, Prometheus, Grafana. Modern CI/CD experience: GitHub Actions, ArgoCD, Flux. Comfort scripting in at least one of the following: TypeScript/Node, Python or Go. A solid grounding in Linux, networking, and security fundamentals. We don't expect every box to be ticked. If most of this sounds like you, we'd like to hear from you. What success looks like in this role Product teams can ship to production independently using self service platform capabilities, without needing direct support from Platform Engineering Platform standards (infrastructure, deployment, security) are widely adopted across teams Changes to the platform measurably improve developer experience and delivery speed Incidents are reduced over time through better system design, observability, and guardrails Infrastructure is scalable, cost efficient, and secure by default, with clear trade offs made where needed Our tech stack Cloud & compute: AWS (multi account, multi region), EKS with Karpenter and KEDA IaC: Terraform, Terragrunt, Helm CI/CD & GitOps: GitHub Actions, ArgoCD, Argo Rollouts Observability: Datadog, Prometheus, Grafana Security: HashiCorp Vault, Kyverno, Checkov, Aikido Databases: PostgreSQL and MySQL Developer platform: Backstage AI tooling: Claude Code, Cursor, Augment Tooling we build ourselves: TypeScript Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in office weekly; fully remote roles include regular opportunities for in-person connection through socials and off sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in house chefs on in office days at select locations Sustainable commuting: cycle to work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

Lendable is looking for a Senior Platform Engineer in Greater London to help scale their multi-account AWS platforms. In this hands-on role, you will manage core AWS infrastructure using Terraform, build Kubernetes tools, and improve developer experience. The ideal candidate will have production experience with Kubernetes, deep AWS knowledge, and familiarity with CI/CD practices. The position offers flexible working arrangements and a strong company culture focusing on employee wellbeing.

About the Role We are looking for an experienced Senior Product Data Scientist to drive product analytics across our rapidly evolving multi product app. In this role, you will play a pivotal part in uncovering insights that shape and accelerate our Zable app, which is used by over 1 million customers on iOS and Android. This is a high impact role where your insights will directly shape product strategy and accelerate our core user experience. You will serve as the primary analytical voice for our Zable app, driving the entire experimentation lifecycle, influencing the decision relating to user experience, and shaping critical business decisions. Beyond individual contribution, you will be instrumental in establishing analytical best practices, and acting as a key strategic thought partner to Product, Growth, and Engineering leadership. What You'll Do 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 drop 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 modelling 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. What We're Looking For Core Qualifications 4+ years of experience in data analytics, ideally within a product led or high growth tech environment. Hands on experience with dbt and familiarity with data modelling best practices. High proficiency in SQL and strong proficiency in data analysis in Python. Demonstrates strong statistical rigour, applying appropriate methods to ensure robust, reliable insights. Highly skilled in experimentation frameworks, including A/B testing, hypothesis testing, and causal inference. Experience building metrics, dashboards and reporting infrastructure. Demonstrated ability to turn ambiguous problems into structured and data driven insights. Excellent communication skills with experience influencing cross functional stakeholders and product leaders. Nice to Haves Experience in product analytics. Experience in fintech or financial services products. Life at Lendable The opportunity to scale up one of the world's most successful fintech companies. Best in class compensation, including equity. You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas. Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday. We care for our Lendies' well being both physically and mentally, so we offer coverage when it comes to private health insurance. We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.

Lendable is looking for a Data Scientist to own and strategize data science for non-lending products. You will collaborate with managing directors and lead various data science projects, focusing on product expansion in areas like Car Insurance. Ideal candidates should have strong communication skills, a successful project management track record, and technical expertise in Python and SQL. The role offers flexible working, health coverage, and a dynamic work environment.

A leading fintech company in London seeks a Senior Product Data Scientist to enhance product analytics for the Zable app. This role involves understanding user behavior and driving the experimentation lifecycle, influencing key business decisions. Required qualifications include 4+ years in data analytics, proficiency in SQL and Python, and expertise in A/B testing. Benefits include flexible work-from-home options, competitive compensation, and private health insurance.

About the Role We are looking for an experienced Lead Product Data Scientist to drive product analytics across our rapidly evolving multi-product app. In this role, you will play a pivotal part in uncovering insights that shape and accelerate our Zable app, which is used by over 1 million customers on iOS and Android. This is a high-impact role where your insights will directly shape product strategy and accelerate our core user experience. You will serve as the primary analytical voice for our Zable app, driving the entire experimentation lifecycle, influencing decisions related to user experience, and shaping critical business decisions. Beyond individual contribution, you will be instrumental in establishing analytical best practices and acting as a key strategic thought partner to Product, Growth, and Engineering leadership. What You'll Do 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 What We're Looking For Core Qualifications 5+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Hands on experience with dbt and familiarity with data modelling best practices High proficiency in SQL and strong proficiency in data analysis in Python Demonstrates strong statistical rigour, applying appropriate methods to ensure robust, reliable insights Highly skilled in experimentation frameworks, including A/B testing, hypothesis testing, and causal inference Experience building metrics, dashboards and reporting infrastructure Demonstrated ability to turn ambiguous problems into structured and data driven insights Excellent communication skills with experience influencing cross functional stakeholders and product leaders. Nice to Haves Experience in product analytics Experience in fintech or financial services products Life at Lendable Best in class compensation, including equity. Work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas. Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday. We care for our Lendies' well being both physically and mentally, so we offer coverage when it comes to private health insurance. We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.

About the role We are looking for the first data scientist to own the data science strategy for non lending products. You will partner with the managing directors to define what to build from a data science perspective and lead the delivery of the data science projects. So far, we have successfully re engineered our "Big Three" of UK consumer finance: Unsecured Loans, Credit Cards, and Auto Finance into high frequency, low latency automated systems. Now, we are diversifying our ecosystem. Car Insurance is our first venture into non lending products, presenting a sophisticated new domain for our data strategy. You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team. You will start as an IC and potentially have people management responsibilities in the future. What you'll be working on Own the data science roadmap to contribute to new product expansion. Build trust and influence a diverse range of leaders and stakeholders. Gather requirements internally and externally to define the success of the data science projects. Drive exciting data science projects from both strategic level and tactical level. 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. Be a great mentor to a team of talented data scientists and the broader analytics community. Key Skills Successful track record of managing data science projects, with cross functional teams and senior stakeholders. Confident and effective communication both internally and externally. Extensive knowledge of the financial services industry, including the products, data, typical ML applications, and related regulations. Excellent technical skills in Python, SQL, and statistics. Hands on experience across the model lifecycle from scoping and model development to deployment and monitoring. Nice to have Experience working in insurance, telco or consulting in financial services industry. Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies. Flexible working: flexible approach tailored to each role. Hybrid roles require three days in office weekly; fully remote roles include regular opportunities for in person connection through socials and off sites. Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls. Health coverage: support for your physical and mental wellbeing, including private health cover. Retirement & savings: long term financial wellbeing through retirement savings plans. Employee referral programme: earn a competitive bonus when you refer successful new team members. Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in house chefs on in office days at select locations. Sustainable commuting: cycle to work and electric vehicle salary sacrifice schemes available in select locations. Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.