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Lendable

UK fintech marketplace lending for consumers

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • The candidate must have 2–3 years of hands-on professional experience using Python.
  • The candidate must be highly numerate and have strong analytical reasoning.
  • The candidate must be able to independently structure analysis, build prototypes, and deliver insights.
  • The candidate must have experience communicating data-driven recommendations to non-technical business stakeholders.

Responsibilities

  • Use Python and large language model APIs, such as OpenAI, to design and deploy automation that replaces manual customer service and fraud service processes.
  • Build prototypes, test them with real operations data, and scale successful prototypes into production workflows.
  • Partner with product managers and engineers to operationalise artificial intelligence-driven solutions across Operations.
  • Analyse key operations demand drivers, including contacts per customer, reason drivers, seasonality, and servicing behaviour.
  • Identify levers to reduce avoidable demand and improve customer outcomes.
  • Build analytical models that drive decisions about cost optimisation and resourcing.
  • Build clear, robust key performance indicator frameworks and funnel views across customer journeys.
  • Translate data into commercial insight, operational efficiency recommendations, and productivity tracking.
  • Create metrics that scale across new geographies, products, and teams.
  • Work directly with Operations Directors, Heads of Customer Service, Fraud, Complaints, and the Chief Operating Officer on strategic initiatives.
  • Turn raw data into narrative-driven recommendations that are simple, actionable, and commercially grounded.
  • Own analytics for high-impact projects end-to-end.

Desired Qualifications

  • A degree in a science, technology, engineering, or mathematics field is desirable.
  • Experience with dbt or modern data stacks is desirable.
  • Familiarity with large language models or application programming interfaces, or interest in building artificial intelligence automation, is desirable.
  • Exposure to product, strategy, or operations environments is desirable.

About the Company

Lendable

UK fintech marketplace lending for consumers

Lendable is a UK fintech that connects borrowers with institutional investors to fund unsecured personal loans, operating as a two-sided marketplace rather than lending from its own balance sheet. Its products are issued digitally, with AI/ML credit scoring that analyzes many data points beyond traditional credit scores to deliver instant decisions and fast funding, while eligibility checks won’t affect credit scores. In addition to personal loans, it offers Autolend car finance and Zable credit products (including in the US). The company differentiates itself by using automated credit decisions and sourcing capital from institutions to bypass traditional banking bottlenecks, with a goal of expanding access to consumer credit for a broad segment of UK residents and growing its product suite.

Company size
501-1,000
Company stage
N/A
Total funding
$1.6B
Headquarters
London, United Kingdom
Founded
2014

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