Lendable Ltd

Lendable Ltd is looking for a Senior AI Engineer to join their AI Engineering team. This role involves building AI tools to enhance developer efficiency while ensuring high-quality outputs. Responsibilities include creating connectors for various systems, enabling internal teams to utilize AI tools, and delivering measurable improvements to engineering processes. The ideal candidate should possess strong TypeScript skills and over four years of software engineering experience. This is a full-time remote position with opportunities to directly impact engineering efficiency.

Lendable Ltd is seeking a Senior AI Software Engineer to enhance internal automation. This hands-on role involves building AI integrations that serve various internal teams, ensuring efficiency across the organization. The candidate should possess strong engineering skills and experience in AI tooling and integrations, with an ambitious focus on delivering measurable results. The position offers flexible remote work options, allowing for a collaborative yet independent work environment.

Lendable Ltd is seeking a Senior Product Data Scientist to drive product analytics for their Zable app in London. This pivotal role involves uncovering user insights, developing key metrics, and shaping product strategy. The ideal candidate will have over 4 years of experience in data analytics, proficiency in SQL and Python, and a strong understanding of A/B testing. The role offers hybrid working options and an inclusive environment focused on well-being.

# Senior Product Data Scientist London Full Time (Permanent) Hybrid GrowthApply for this role About the roleWe 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-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 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-drive 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 Interview process Screening call with a recruiter Take home task Case study Interview Final InterviewsApply for this role About LendableLendable is on a mission to build the world's best technology to help people get credit and save money . Founded in 2014 Profitable since 2017 Unicorn in 2021 £3.5bn valuation in 2022 Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo 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 are held by big banks with dated systems and painful processes. 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 we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in LondonCheck out our Glassdoor Reviews Apply for this role

Lendable Ltd is seeking a Senior AI Software Engineer to join the Internal Automation team in London. This role focuses on creating AI integrations and automating workflows that enhance efficiency across various departments. The ideal candidate will have at least 4 years of software engineering experience, strong skills in Python or TypeScript, and a passion for building impactful solutions using AI tools. Flexibility to work from home on Mondays and Fridays enhances a balanced work environment.

# Senior AI Software Engineer (Internal Automations) London Full Time (Permanent) Remote AI EngineeringApply for this role About the roleWe're looking for a hands-on AI Engineer 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 Knowledge of MCP (Model Context Protocol) Frontend skills with Next.js or React for internal tooling How you'll work You'll join a small, focused team where you'll have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM - you'll figure out the "how", design the approach, build it, and make sure it keeps delivering value.We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it's used, and improve. You won't be directly client-facing, but your work will directly impact colleagues across the business - and you'll hear about it when something you built makes their day easier. Why join? See your work make a difference This isn't a team where your code disappears into a monolith. You'll build something on Monday and see it saving someone time by Friday. Every integration and tool you ship has a direct line to company efficiency. High leverage A small team means your contributions have outsized impact. No layers, fast decisions, real ownership. Build new things We're building a platform from the ground up, not maintaining legacy systems. You'll shape how AI gets used across Lendable. Work at the frontier AI tooling is moving fast. You'll work with the latest in agentic AI, workflow orchestration and LLM tooling - applied to real problems, not just proof-of-concepts. Interview process 1. Screening call with Hiring Manager2. Take-home task3. Technical interview based on the task4. Final interviewApply for this role About LendableLendable is on a mission to build the world's best technology to help people get credit and save money . Founded in 2014 Profitable since 2017 Unicorn in 2021 £3.5bn valuation in 2022 Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo 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 are held by big banks with dated systems and painful processes. 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 we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in LondonCheck out our Glassdoor Reviews Apply for this role

Lendable Ltd is looking for a Senior Marketing Scientist in London to lead marketing and growth analytics for their multi-product app. The role requires expertise in data analytics and funnel optimisation, ensuring that insights drive acquisition efficiency and product innovation. In this position, you will work closely with Product and Credit Managers, execute analyses to optimise marketing spending, and design impactful experiments. Candidates should have 3+ years of relevant experience and strong SQL skills.

# Senior Marketing Scientist London Full Time (Permanent) Hybrid Growth (Analytical)Apply for this role About the roleWe are looking for an experienced Senior Marketing Scientist to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders. What You'll Do Impact & Analytical Leadership 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. Data Product Involvement 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 Cross-Functional Partnership 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. What We're Looking For Core Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R). Hands-on experience with DBT and familiarity with data modelling best practices Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference). Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights. Excellent communication skills with experience influencing cross-functional stakeholders and product leaders. Nice to Have Experience in credit marketing (credit cards, loans, car finance etc.) Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams Experience building or contributing to Marketing Mix Models or incrementality testing frameworks. Familiarity with data instrumentation and schema design in product development cyclesInterview process: Screening call Take home task and cognitive tests Case study Final InterviewApply for this role About LendableLendable is on a mission to build the world's best technology to help people get credit and save money . Founded in 2014 Profitable since 2017 Unicorn in 2021 £3.5bn valuation in 2022 Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo 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 are held by big banks with dated systems and painful processes. 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 we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in LondonCheck out our Glassdoor Reviews Apply for this role

# Senior AI Software Engineer (Internal Automations) London Full Time (Permanent) Remote AI EngineeringApply for this role About the roleWe're looking for a hands-on AI Engineer 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 Knowledge of MCP (Model Context Protocol) Frontend skills with Next.js or React for internal tooling How you'll work You'll join a small, focused team where you'll have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM - you'll figure out the "how", design the approach, build it, and make sure it keeps delivering value.We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it's used, and improve. You won't be directly client-facing, but your work will directly impact colleagues across the business - and you'll hear about it when something you built makes their day easier. Why join? See your work make a difference This isn't a team where your code disappears into a monolith. You'll build something on Monday and see it saving someone time by Friday. Every integration and tool you ship has a direct line to company efficiency. High leverage A small team means your contributions have outsized impact. No layers, fast decisions, real ownership. Build new things We're building a platform from the ground up, not maintaining legacy systems. You'll shape how AI gets used across Lendable. Work at the frontier AI tooling is moving fast. You'll work with the latest in agentic AI, workflow orchestration and LLM tooling - applied to real problems, not just proof-of-concepts. Interview process 1. Screening call with Hiring Manager2. Take-home task3. Technical interview based on the task4. Final interviewApply for this role About LendableLendable is on a mission to build the world's best technology to help people get credit and save money . Founded in 2014 Profitable since 2017 Unicorn in 2021 £3.5bn valuation in 2022 Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo 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 are held by big banks with dated systems and painful processes. 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 we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in LondonCheck out our Glassdoor Reviews Apply for this role

About the roleWe'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 Interview process Intro call with Talent Team Hiring Manager call - 30 minutes Tech interview - Solution Design - 2 hours Culture Interview with our VP of Technology - 45 minutes 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 we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in London

Lendable Ltd is looking for a Staff Kotlin/JVM Engineer in London. The role requires strong commercial Kotlin skills, with oversight of API integrations and existing services scaling. Collaboration and mentorship are core to this position, and ideal candidates will possess a solid understanding of financial domains and robust automated testing practices. Enjoy flexible work options, in-house meals, and a commitment to employee well-being at Lendable, where inclusive culture thrives.

# Staff Kotlin/JVM Engineer London Full Time (Permanent) Hybrid SuperApp EngineeringApply for this role About the roleAs we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Staff/Lead Kotlin Engineer. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, a Superapp and they're at it again with brand new product launches this year.We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience or JVM based engineering experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin or Java but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business.There's a lot to do; building and integrating new API's, tuning our existing services as they scale, supporting our expansion of new products and supporting services in the US.We believe that software engineering is more than just code - it's about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place.There is more to read about us and our Lendies in the engineering blog right here and if you'd like to check our reviews out on Glassdoor you can see these here. Our Tech Stack Backend Kotlin 1.7.20 AWS GraphQL (it would be nice if you were familiar with this but it's not a deal breaker) Postgres RabbitMQ Docker Kubernetes Frontend React & React Native, TypeScript, MobX, Redux, Stylus and SASS Other We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature We use JUnit Jupiter, Kotest and TestContainers for automated testing What we're looking for technically Strong commercial Kotlin or JVM based engineering experience (willingness to work with Kotlin) Strong mentorship and coaching experience An ability to write simple, clean code Experience and understanding of databases; relational databases are a must, NoSql would be nice too Be able to quickly understand complex, financial business domains Understand different software architectures rapidly Understands abstraction and interpolation Able to write comprehensive, automated tests at all levels of the pyramid Understanding of the Kanban agile methodology; not a deal breaker if you don't What we're looking for in a team member Someone who can get along with others and build relationships Someone who wants to continually learn, improve and collaborate Someone who can solve problems on their own but also knows when to go to their peers for help Someone who is a rational thinker and is aware of the 'why' behind the way they do things Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery Interview process A 30 minute introductory call with one of our engineers A short coding exercise to complete in your own time Onsite or Video Interview lasting 60-90 minutes, comprising of: + Introduction of the team and kind of work you could be doing daily + Discussion around the coding exercise you completed + Interactive architecture/design exercise + Tech project walkthrough + Cultural/behavioural questions to see if you'd be a good fit for Lendable + Questions you may have about the company, role, etcApply for this role About LendableLendable is on a mission to build the world's best technology to help people get credit and save money . Founded in 2014 Profitable since 2017 Unicorn in 2021 £3.5bn valuation in 2022 Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo 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 are held by big banks with dated systems and painful processes. 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 we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in LondonCheck out our Glassdoor Reviews Apply for this role