Lead Product Analyst at Lendable - VC-backed fintech unicorn

You will lead product analytics and experimentation for the Zable app, serving over 1 million users. By driving the end-to-end A/B testing lifecycle and building predictive models in Python, you'll act as a strategic partner to leadership, translating complex behavioral data into actionable insights that define the future of consumer finance.

• Own the end-to-end experimentation lifecycle for the Zable app, establishing rigorous statistical standards and A/B testing frameworks to optimize user experience.
• Develop predictive models for churn risk and uplift modeling using Python to proactively inform product strategy and customer lifecycle management.
• Partner directly with Product and Engineering leadership to embed data-driven decision-making into the daily workflow and define key performance metrics.

• 5+ years of experience in data analytics within a high-growth tech environment, featuring high proficiency in SQL and daily hands-on coding in Python.
• Deep expertise in experimentation frameworks, including causal inference and hypothesis testing, with a proven ability to turn ambiguous problems into structured insights.
• Strong technical background in data modeling and transformation, specifically with experience using dbt to maintain scalable reporting infrastructure.

• High-impact ownership of experimentation for a flagship app used by millions, directly influencing the product roadmap for a £3.5bn valuation company.
• Join a rare "profitable unicorn" backed by premier investors like Goldman Sachs, Balderton, and Ontario Teachers' Pension Plan, offering both stability and rapid growth.
• Exceptional culture and perks including equity, visa sponsorship, and in-house chefs preparing fresh lunches three days a week in a central London hub.