Lendable

About the Company

Lendable is a lending platform that makes borrowing money effortless across loans, credit cards and car finance.

Using technology, we have trimmed the fat from the traditional loan application process. The result allows us to make an instant decision, offer personalised rates, and transfer funds within minutes.

We look beyond just the applicants' credit scores, offering loans to people with less-than-perfect credit histories. This way, we provide fair rates to a wider range of borrowers.

Once customers have accepted our quote, we deposit their loan within minutes and many customers qualify for instant access to their credit card via their mobile wallets. Our technology is brand new so we can deliver best in class experience to customers that previously weren't served in the market.

The internet has made commerce faster, cheaper and safer. Time for finance to step up. Check out our Lendable loans, Zable credit cards (https://zable.co.uk/) and Autolend car finance (https://www.autolend.co.uk/) for more specific details

Listed Jobs

Company Name

Lendable

Job Title

Junior Data Scientist

Job Description

**Job Title:** Junior Data Scientist **Role Summary:** Support the UK Loans team by developing and refining credit risk and pricing models. Collaborate with credit and product teams to analyze loan funnel data, propose analytical solutions, and communicate insights to stakeholders. **Expectations:** - Self‑driven and accountable for assigned analyses. - Strong teamwork and clear communication skills. - Ability to translate business problems into data‑driven questions. - Willingness to learn domain knowledge of consumer finance products. **Key Responsibilities:** - Build, test, and maintain machine‑learning models for loan pricing and credit optimization. - Conduct data extraction, cleaning, and exploratory analysis using SQL and Python. - Research and recommend improvements to existing modelling methodologies. - Produce visualisations and written reports to convey findings to cross‑functional stakeholders. - Participate in code reviews and share knowledge within the data science team. **Required Skills:** - Proficiency in Python (pandas, numpy, scikit‑learn). - Strong SQL querying ability. - Solid understanding of core machine‑learning algorithms and statistical principles. - Effective verbal and written communication. - Ability to work independently and take ownership of tasks. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field. - No specific certifications required.

London, United kingdom

Hybrid

Junior

09-01-2026

Company Name

Lendable

Job Title

Credit Analyst Intern

Job Description

**Job Title:** Credit Analyst Intern **Role Summary:** 10‑week internship supporting Lendable’s credit strategy through data analysis, modelling, and insight generation. Intern will work closely with product and tech teams to influence lending decisions, pricing, and fraud detection. **Expectations:** - University student in penultimate year (undergraduate, master’s or PhD). - Strong quantitative aptitude and curiosity. - Ability to work independently in a fast‑paced startup environment. - Effective communication of analytical findings to senior leadership. **Key Responsibilities:** - Analyse large data sets to produce actionable insights for credit strategy. - Build and maintain models (e.g., NPV, default rate forecasts) to inform lending decisions. - Conduct hypothesis testing and evaluate impacts on pricing, risk, and fraud detection. - Present analytical results to senior leaders and collaborate with product/tech teams for implementation. **Required Skills:** - Proficiency in Python and/or SQL for data manipulation and modelling. - Strong analytical and problem‑solving abilities with experience handling complex datasets. - Excellent written and verbal communication skills. - Ability to synthesize quantitative findings into clear business recommendations. **Required Education & Certifications:** - Currently enrolled in a university program (penultimate year) pursuing a degree in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline. - No specific certifications required; coursework or projects demonstrating data analysis and programming skills are expected.

London, United kingdom

Hybrid

Fresher

13-01-2026

Company Name

Lendable

Job Title

Analyst Internship

Job Description

**Job title:** Analyst Intern **Role Summary:** 10‑week internship focused on using data analysis, modeling, and hypothesis testing to generate insights that shape lending strategy, pricing, and fraud detection. Intern will present findings to senior leadership and collaborate with product and tech teams to implement data‑driven improvements. **Expactations:** - Penultimate‑year university student (undergraduate, master’s or PhD). - Strong quantitative aptitude and passion for working with numbers. - Proactive, curious mindset with ability to work independently in a fast‑growth startup environment. - Effective communicator capable of presenting complex analysis to senior stakeholders. **Key Responsibilities:** - Analyze large datasets to extract actionable insights for lending decisions. - Support NPV modeling by forecasting default rates and other key assumptions. - Conduct hypothesis testing to evaluate and refine lending strategy, pricing, and fraud detection. - Prepare and deliver presentations of analytical results to senior leaders. - Partner with product/tech teams to translate insights into implemented solutions. **Required Skills:** - Proficient coding in Python and/or SQL. - Data manipulation, statistical analysis, and predictive modeling. - Experience with hypothesis testing and data visualization. - Strong problem‑solving and critical‑thinking abilities. - Clear written and verbal communication skills. **Required Education & Certifications:** - Currently enrolled in a university program (undergraduate, master’s or PhD) in a quantitative discipline (e.g., Economics, Mathematics, Statistics, Computer Science, Engineering, Finance). - No specific certifications required.

London, United kingdom

On site

13-01-2026

Company Name

Lendable

Job Title

Senior AI Software Engineer

Job Description

**Job title** Senior AI Software Engineer **Role Summary** Design, develop, and maintain AI‑driven integrations and automation tools that increase internal team productivity. Own the full lifecycle from problem discovery through deployment, monitoring, and continuous improvement. Collaborate with cross‑functional teams to deliver high‑impact solutions that reduce manual effort, errors, and processing time. **Expactations** - 4+ years of professional software engineering. - Proven experience in full‑stack development (Python or TypeScript). - A record of shipping containerized applications to Kubernetes. - Delivered AI tooling that is adopted in a commercial environment. - Comfortable with LLMs, embeddings, and API integration patterns. **Key Responsibilities** - Build connectors to data sources (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence). - Develop and maintain knowledge‑base pipelines and API integrations for automation platforms. - Implement security and data‑governance controls in all integrations. - Provide rapid‑app‑builder support: templates, guardrails, and building blocks for non‑engineers. - Work with PM and engineering lead to identify high‑leverage opportunities; ship MVPs and iterate based on usage metrics. - Evaluate and adopt emerging AI tools, libraries, and deployment stacks. **Required Skills** - Full‑stack development (Python or TypeScript). - Containerization with Docker, orchestration with Kubernetes. - AI application design: LLMs, embeddings, vector stores (Pinecone, Weaviate, pgvector). - API integration and server‑side logic. - Familiarity with workflow automation tools (n8n, Zapier, Make). - Strong ownership mindset, end‑to‑end delivery focus, impact‑driven. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (equivalent experience acceptable).

London, United kingdom

Remote

Senior

09-02-2026