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A leading fintech company in London is seeking an experienced Lead Product Analyst to drive product analytics across its multi-product app. The role demands expertise in data analysis and experimentation to uncover insights that directly shape the insurance product strategy. Candidates should have at least 5 years of experience in data analytics, proficiency in SQL, and familiarity with A/B testing frameworks. This position offers a hybrid work model allowing remote work on Mondays and Fridays.
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 600 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.
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
We are looking for an experienced Lead Product Analyst to drive product analytics across our rapidly evolving multi-product app. In this role, you will play a pivotal part in uncovering insights that shape and accelerate our insurance product offering. This is a high-impact role where your insights will directly shape product strategy and accelerate our insurance offering.
You will serve as the primary analytical voice for our insurance product, driving the entire experimentation lifecycle, influencing the product roadmap, and shaping critical business decisions. Beyond individual contribution, you will be instrumental in establishing analytical best practices, and acting as a key strategic thought partner to Product, Growth, and Engineering leadership.
Be the dedicated analytical leader for the insurance product, deeply understanding user behavior, engagement funnels, and conversion drivers to identify high-impact opportunities
Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behavior, product health, and business performance
Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points
Apply data science techniques to build predictive models for user behavior, churn risk, and uplift modeling to inform proactive product decisions
Own the end-to-end A/B testing process, including experimental design, execution, analysis and recommendations
Establish experimentation standards and best practices, including test design, statistical rigour, and result interpretation
Challenge assumptions and provide data-driven perspectives that shape strategic discussions and roadmap planning
Proactively partner with product managers, analysts and engineers to embed data into the daily decision-making flow and translate complex findings into clear business recommendations
Define and champion analytics best practices, standards, and methodologies within the growth analytics team
5+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
Hands-on experience with dbt and familiarity with data modelling best practices
High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).
Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference)
Experience building metrics, dashboards and reporting infrastructure
Demonstrated ability to turn ambiguous problems into structured and data-drive insights
Excellent communication skills with experience influencing cross-functional stakeholders and product leaders.
Experience in product analytics
Experience in fintech, insurtech, or financial services products
Screening call with a recruiter
Take home task
Case study Interview and cognitive tests
Final Interviews
The opportunity to scale up one of the world’s most successful fintech companies.
Best-in-class compensation, including equity.
You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.
Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London
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