Data Analytics Strategy Manager

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:
Among the fastest-growing tech companies in the UK
So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. 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.
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. Zable is a Mobile-App first credit card that empowers customers to build their credit score while meeting their spending and borrowing needs sustainably.
We're looking for an analytical, commercially-minded Strategy Analytics Manager to help us grow and scale the product exponentially. This is a dynamic role where you'll tackle high impact business problems across a number of disciplines including pricing, financial forecasting, growth, credit risk, new product development and product analytics.
You'll work cross-functionally to deliver insight-driven strategies that optimise performance, drive responsible growth, and put the customer at the heart of decision-making.
Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency. Financial forecasting & portfolio analytics: Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy.
Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations.
Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. Present insights and recommendations to senior leadership - clear, concise, and backed by data. Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed.
In time, you will hire, develop and mentor a small team of high-calibre analysts, fostering both technical growth and strategic thinking. Growth, Credit Risk, Product Analytics, Marketing, etc.)
~ Proficiency in coding - ideally SQL and Python
~[Bonus] Experience in managing or mentoring analytical teams
~[Bonus] Experience in an FCA-regulated financial services firm

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