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Lendable

UK fintech marketplace lending for consumers

Strategy Analyst

Data AnalysisUpdated on Nov 12
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • At least 1 year of experience in an analytical role, such as Product Analytics, Growth, or Pricing; a university-course placement year may count.
  • Proficiency in SQL and working knowledge of Python.
  • Hands-on exposure to A/B and multivariate testing.
  • A structured approach to problem solving and strong attention to detail.
  • Comfort working through ambiguity and completing problems and projects end to end with support.

Responsibilities

  • Support the development and optimisation of pricing and promotional strategies across channels and products through data-driven analysis, balancing customer engagement, growth, price elasticity, and profitability, and continuously refine approaches based on product performance and scenario modelling.
  • Analyse performance at channel, product, and customer-segment level to identify opportunities to improve pricing, product performance, and conversion efficiency.
  • Build insight into conversion-funnel performance and identify where cost or conversion can be improved.
  • Monitor industry trends and market activity to help ensure products remain competitive and fit for purpose.
  • Design, set up, and run pricing tests and product A/B and multivariate experiments with Product, Data Science, and Engineering, ensuring correct implementation.
  • Track experiment performance against pre-agreed success metrics and guardrails, and deliver readouts recommending whether to roll out, iterate, or stop.
  • Measure the realised impact of commercial initiatives after launch and compare outcomes against the original business case.
  • Build and maintain monitoring of key commercial metrics to track the impact of changes over time.
  • Build an evidence base on price elasticity from tests to inform future pricing decisions.
  • Validate that implemented pricing and strategy changes work as intended after deployment in production, and flag and investigate unexpected behaviour.
  • Support evaluation of new product, channel, and segment opportunities by extracting and analysing data and contributing to commercial models.
  • Help maintain assessment frameworks and tooling so evaluations are consistent and repeatable.
  • Collaborate with stakeholders across Credit Risk, Data Science, Product, and Growth to implement strategies.
  • Present analysis and recommendations clearly and concisely, backed by data, to the team and wider stakeholders.
  • Document analyses, queries, and experiment results so they can be reused by the wider team.

Desired Qualifications

  • Experience in an FCA-regulated financial services firm.
  • Exposure to pricing or conversion-funnel analysis.

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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