Lendable

Develop operational leadership skills by analysing data, improving processes, and delivering AI and automation initiatives within a fast-growing fintech company.About the roleWe’re looking for a super-smart and ambitious graduate who is not only highly numerate and analytical, but also enthusiastic about building strong relationships and driving meaningful change. Join us to apply your analytical expertise and people skills to help shape the future of our operations and prepare for a path towards Operational Leadership.What you'll be doingThis two-year, full-time programme offers hands-on experience across our core customer-facing Operations teams. It’s an exciting opportunity to immerse yourself in the workings of a fast-growing fintech business, contributing to real projects with measurable impact. With mentorship and leadership support, you’ll develop valuable skills in AI, digital transformation, and process improvement—building a strong foundation for your future as an Operational leader.Operational Automation & Efficiency: Work on initiatives to improve customer experience, optimise processes, and contribute to operational efficiency.Rapid Exposure: Quickly take on significant responsibility and gain exposure to multiple functions across operations - whether through team rotations or high-impact assignments.Data-Driven Decision Making: Analyse problems, propose solutions, and drive execution with support from our teams.Communication & Delivery: Present findings, ideas, and results to stakeholders, developing your communication and influencing skills.Problem-solving: Address complex operational challenges and deliver actionable solutions to our teams.Customer-Centricity: Develop a keen understanding of customer needs and be empowered to identify pain points and design seamless, customer-focused processes, ensuring that our operational strategies consistently deliver great customer outcomes.Collaboration: Collaborate with our cross-functional Operations teams to deliver tangible, customer-focused projects.What we're looking forA graduate with a STEM degree, with evidence of strong analytical thinking, creative problem solving, and quantitative skills.Strong interpersonal and communication skills - you enjoy collaborating and building relationships.Can demonstrate examples of critical thinking, adaptability, and initiative, ideally through academic, internship, or extracurricular experiences.Results-driven and resourceful, with a willingness to learn quickly and embrace new challenges.Comfortable with technology, data analysis and curious about fintech, AI, and automation.Startup mindset. We’re a fast-growth tech startup so you’ll be super excited to work in an entrepreneurial environment and have a real impact on the businessYou’ll have a natural curiosity and love to dig into things to understand how they work and are eager to drive positive change from day one.Compensation£40,000 - £45,000 annual salary

Posted 6 days ago

Build and improve data models and analytics pipelines to support business insights, reporting, and decision-making within a fast-growing fintech team.About the roleWe're looking for a Junior Analytics Engineer to join the analytical foundation for our US Cards team, the fastest-developing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to help improve how data is structured, transformed, and consumed across the company.The role is fundamentally about contributing to a strong analytical foundation: helping teams move from question to insight quickly, while improving data quality, scalability, and maintainability.You'll be supported by experienced engineers and given the space to grow — picking up new skills, deepening your SQL and dbt knowledge, and building confidence across a modern data stack.What you'll be doingContributing to the data models that support credit decisions, origination, portfolio analysis, and investor reporting.Building and improving dbt models and transformations, guided by senior engineers and in close collaboration with analysts and stakeholders.Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to help ensure data is modelled and used effectively.Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.Supporting the scaling of our data infrastructure as the business grows.Our modern data stackYou’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.What we're looking forWe're looking for someone with solid analytics engineering fundamentals - or the drive to develop them - and the curiosity to apply them in a fast-moving environment.More specifically, we’re looking for:Essential:Solid SQL skills and a willingness to keep improving them.Some hands-on experience with dbt or ELT pipelines.A collaborative working style and clear communication across technical and non-technical stakeholders.A growing understanding of data modelling and how analytical datasets should be structured for reliability and usability.Comfort using AI tools to move faster and improve the quality of your work.Desirable:Experience with Snowflake or another modern cloud data warehouse.An interest in learning from and eventually supporting analysts through shared patterns and good practices.Fintech or scale-up experience

Posted 28 days ago