Data Analyst; Strategic Projects

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.

We're building one of the world’s leading fintech companies and are off to a strong start:

One of the UK’s most exciting unicorns with a team of over 800 people

Among the fastest-growing tech companies in the UK Profitable since 2017

Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)
So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want toTake ownership: 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:
Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting

About the Role We’re building the most advanced, data-driven operating model in fintech. As part of Lendable’s Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering - using data, LLMs, and automation to transform how our Operations teams work ’ll work directly with senior operations leadership working on special projects to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that materially reduces our cost-to-serve while improving customer outcomes.

If you’re technical, curious, and love owning problems end-to-end, this is the role for you.

What You’ll Do1. Automation & AI Engineering Use Python and LLM APIs (e.g. OpenAI) to design and deploy automation that replaces manual CS/FS processes.

Build prototypes, test with real operations data, and scale the successful ones into production workflows.

Partner with PMs and engineers to ope rationalise AI-driven solutions across Operations.
2. Demand Analytics & Strategy Analyse key operations demand drivers (contact per customer, reason drivers, seasonality, servicing behaviour).Identify levers to reduce avoidable demand and improve customer outcomes.

Build analytical models that drive decision-making around cost optimisation and resourcing.
3. KPI & Funnel Intelligence Build clear, robust KPI 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.
4. Work With Senior Leadership Work directly with Ops Directors, Heads of CS/FS/Fraud/Complaints, and the COO 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.

What We’re Looking For Must-Have Skills2-3 years of hands-on experience using Python in a professional setting.

Highly numerate with strong analytical reasoning Ability to independently structure analysis, build prototypes, and deliver insights.

Experience communicating data-driven recommendations to non-technical business stakeholders.

Nice-to-HavesSTEM Degree

Experience with dbt or modern data stacks.

Familiarity with LLMs, APIs, or interest in building AI automation.

Exposure to product, strategy, or operations…