Strategy Analytics 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:
• One of the UK’s most exciting unicorns with a team of over 800 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: 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: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

Build the best technology in-house: we use 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.

Responsibilities

• 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.
• 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 iterating as needed.
• Build & mentor a small team of analysts: In time, you will hire, develop and mentor a small team of high-calibre analysts, fostering both technical growth and strategic thinking.
• Build a culture where people seamlessly collaborate across functions, challenge the status quo, and consistently deliver best-in-class, customer-first solutions.

Requirements

• 3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.)
• Proficiency in coding - ideally SQL and Python

Preferred

• [Bonus] Experience in managing or mentoring analytical teams
• [Bonus] Experience in an FCA-regulated financial services firm

Benefits

• 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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Check out our blog!