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 newest unicorns with a team of just over 700 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 to

1. 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

2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

3. Build the best technology in-house, using 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 at scale.

You’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 Do

1. 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 operationalise 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 r