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Strategy Analytics Manager

Job in City Of London, Central London, Greater London, England, UK
Listing for: Lendable
Full Time position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

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:

  • 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.

Join us if you want to
  • 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

  • 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.

    You’ll operate in a fast-paced environment where ideas matter more than hierarchy, and execution beats bureaucracy. Your work will directly influence who we serve, how we grow, and how we deliver sustainable value.

    Your impact
    • 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. Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose.

    • 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.

    • Evaluate expansion opportunities: Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. 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.

    • Influence & execution: 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. Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy. Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and…

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