Jobs at Lendable

Build and improve data models and analytic pipelines to support lending decisions, pricing, portfolio analysis, and reporting. Champion analytics engineering standards, collaborate with analysts and engineers, triage pipeline issues, and enhance reliability, scalability, and cost-effectiveness of the warehouse and transformation layer.

The Marketing Designer will lead creative initiatives and campaigns for a rebrand, maintaining brand consistency, producing high-quality output, and leveraging AI tools.

The Lead Data Scientist will own the data science strategy for non-lending products, manage projects, and collaborate with directors to enhance product offerings using data insights.

Lendable seeks a Senior Product Manager for its New Products team to lead product strategy, execution, and cross-functional alignment, driving development from concept to scale, particularly focusing on financial products using AI and machine learning.

As a Lead Python Engineer, you'll oversee technical direction, mentor a small team, and develop data pipelines and services while driving architectural discussions.

As a Senior Kotlin Engineer, you'll lead developments in fintech solutions, enhance collaborative design discussions, and implement elegant, idiomatic Kotlin code for intricate financial products.

The Senior Mobile Engineer will focus on developing a React Native mobile application, collaborating closely with backend engineers, ensuring high-quality features, and evolving a scalable frontend codebase.

The Senior IT Systems Engineer will design, implement, and maintain secure, scalable IT systems, ensuring operational efficiency and user experience while supporting automation and integration across platforms.

The Technical Sourcer will identify and engage technical talent across various domains, collaborating with hiring leaders to develop sourcing strategies, manage candidate pipelines, and analyze metrics to optimize sourcing effectiveness.

Own end-to-end fraud and complaints operations for the US market: map and redesign processes, run day-to-day casework, analyze data to surface trends, deliver improvement projects with Product/Engineering/Compliance, and manage vendor relationships while ensuring regulatory compliance and clear audit records.

Own credit strategy for a new second-charge mortgage product: define underwriting policy, scoring, pricing, decisioning rules, and portfolio economics. Collaborate with product, engineering, legal, and capital teams to automate decisioning, shape funding strategy, ensure regulatory compliance, monitor portfolio performance, and scale operations.

Lead the credit strategy for second charge mortgages, defining credit policy, developing risk models, and collaborating across functions to optimize lending processes while maintaining portfolio quality.

Support the US Cards analytics foundation by building and improving dbt models and ELT pipelines, contributing data models for credit and portfolio analysis, collaborating with analysts and engineers to improve data quality, scalability, and maintainability, and identifying pipeline efficiency improvements.

Use Python and SQL to analyse card fraud data, define and implement fraud strategies, automate reporting, collaborate cross-functionally, and monitor outcomes to reduce fraud while preserving customer experience.

The Senior Product Manager will drive product initiatives for UK Cards, improving customer experience and leveraging AI tools while collaborating cross-functionally on growth strategies.

The Product Manager will enhance the UK Cards product by driving growth initiatives and AI-enabled workflows, collaborating across teams and improving customer experience.

Lead credit strategy for US cards: design decisioning, limits, pricing, experimentation, monitoring, and portfolio valuation. Build models and analytics, use Python/SQL for insights, collaborate with data science, product, engineering and capital markets, and drive responsible portfolio growth and investor reporting.

Own strategy and delivery for US personal loans: productionise credit models, build automations for operations, run A/B tests, improve post-origination experience, and leverage LLMs/AI to boost customer service and collections. Collaborate with engineering, data science, credit risk, growth, and operations to drive measurable business outcomes.

Analyze transaction and customer data to detect and prevent fraud on UK cards, produce insights using SQL/Python, automate reporting, contribute to fraud strategy, collaborate cross-functionally, implement and monitor strategies to reduce losses while preserving customer experience.

Own and improve analytical data models and dbt transformation layer for US Loans. Collaborate with analysts, engineers, and product to enhance data quality, scalability, and insight delivery. Mentor analysts, define modelling standards, optimise pipelines for cost and reliability, and scale data infrastructure to support rapid growth.