Senior Product Analyst

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

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  Be the dedicated analytical leader for our new consumer banking product, deeply understanding user behavior, engagement funnels, and conversion drivers to identify high-impact opportunities

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  Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behavior, product health, and business performance

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  Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points

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  Apply data science techniques to build predictive models for user behavior, churn risk, and uplift modeling to inform proactive product decisions

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  Partner with risk and fraud teams by surfacing behavioural signals that may indicate unusual activity

• 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 or fraud analytics

• Background in retail banking analytics

• Familiarity with deposit or payments products

Screening call

Take home task and cognitive tests

Case study

Final Interview

• 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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