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Lendable

Growth Analyst

London
Posted about 24 hours ago
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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

  • 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

About The Role

We are looking for a Growth Analyst to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.

You'll be the analytical voice across our Zable direct marketing initiatives. Day to day you'll be maintaining and improving our customer lifetime value (LTV) models, running experimentation, owning growth reporting, and maintaining our attribution models. You'll work closely with product, growth, and engineering to make sure decisions are grounded in reliable data.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What You'll Do

Impact & Analytical Leadership

  • Maintain, monitor, and refine our customer lifetime value models across products and channels
  • Analyze marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation
  • Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution
  • Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies
  • Turn experiment results into clear, actionable recommendations
  • Influence data architecture by contributing to schema design that enable more insights
  • Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility

Cross-Functional Partnership

  • Drive recommendations on channel optimisation and marketing spend
  • Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments.
  • Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas.

What We're Looking For

Core Qualifications

  • 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
  • Deep expertise in analytical methods including LTV modelling, cohort analysis and regression techniques.
  • High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).
  • Hands-on experience with DBT and familiarity with data modelling best practices
  • Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference).
  • Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights.
  • Excellent communication skills with experience influencing cross-functional stakeholders and product leaders.

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Nice to Have

  • Experience in credit marketing (credit cards, loans)
  • Experience building customer lifetime value models
  • Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams

Interview process:

  • Screening call for initial fit
  • Take home Technical
  • Take home debrief
  • In-person interview (of which, cultural interview + marketing analytics interview)

Life at Lendable

  • 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

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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Skills

SQL
Python
R
DBT
LTV Modelling
Cohort Analysis
Regression Techniques
A/B Testing
Hypothesis Testing
Causal Inference
Data Modelling
Marketing Analytics
Growth Reporting
Attribution Modelling
Data Pipeline Construction

Location

London, England, United Kingdom

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