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.
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Lead Product Analyst at Lendable
You will own the entire experimentation and analytics lifecycle for the Zable app, used by over a million customers. Working directly with leadership, you'll use Python and advanced statistical methods to shape the future of consumer finance. This is a rare opportunity to join a high-growth company backed by Goldman Sachs that offers equity, visa sponsorship, and a culture of excellence. If you are a technically strong analyst who loves A/B testing and predictive modeling, this London-based hybrid role is for you.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Lendable
Role overview
Finance500-1000 employeesLondon, United KingdomGrowth (VC-backed)
Lendable is a leading London-based fintech on a mission to help people access credit and save money using cutting-edge technology.
Founded in 2014, we use AI and data science to make loans simple, fast, and fair - offering instant decisions and transparent terms.
With a focus on simplicity, responsibility, and innovation, we help thousands of UK customers get affordable credit, supported by a dedicated and diverse team.
Backed by Ontario Teachers’ Pension Plan (Teachers’ Innovation Platform), Balderton Capital, FMO, Waterfall Asset Management, Goldman Sachs Growth.
What you will do
- 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.
Who this is a fit for
- 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.
Why this role is remarkable
- 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.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Lendable wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.