Job Overview
Location
London
Job Type
Full-time
Category
Data Science
Date Posted
July 21, 2026
Full Job Description
đź“‹ Description
- • 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
- • Own and improve the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
- • Drive the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation.
- • Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer.
- • Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data
- • Mentoring an analytics engineer, setting the direction and priorities for the team
- • Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively.
- • Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.
- • Scaling our data infrastructure to proactively support the requirements of a rapidly growing business.
- • Work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.
- • Strong SQL skills
- • Strong experience with ELT pipelines and transformation at scale, using dbt.
- • Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders
- • Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.
- • Good judgement in balancing longer-term platform improvements with day-to-day business needs.
- • The ability to spot inefficiencies in existing data workflows and improve them independently.
- • Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows.
- • Experience with Snowflake or another modern cloud data warehouse.
- • An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns.
- • Fintech or scale-up experience
🎯 Requirements
- • Strong SQL skills
- • Strong experience with ELT pipelines and transformation at scale, using dbt.
- • Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders
- • Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.
- • Good judgement in balancing longer-term platform improvements with day-to-day business needs.
- • The ability to spot inefficiencies in existing data workflows and improve them independently.
- • Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows.
🏖️ 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Lendable Ltd
Lendable is a UK-based fintech that operates an online consumer-lending platform using open-banking data and machine-learning underwriting to offer unsecured personal loans and car finance. Founded in 2014 and headquartered in London, it funds loans through an institutional peer-to-peer model, matching investors with borrowers seeking fast, fixed-rate credit. The company automates identity, affordability and risk assessment, providing near-instant decisions and same-day payouts while giving investors access to diversified consumer credit returns. Regulated by the Financial Conduct Authority, Lendable has originated more than ÂŁ2 billion in loans without maintaining physical branches, focusing on transparent pricing and mobile-first customer experience.
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