Data Analyst (Strategic Projects)

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

1. Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

2. Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

3. Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting

We’re building the most advanced, data-driven operating model in fintech. As part of Lendable’s Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering - using data, LLMs, and automation to transform how our Operations teams work at scale.

You’ll work directly with senior operations leadership working on special projects to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that materially reduces our cost-to-serve while improving customer outcomes.

If you’re technical, curious, and love owning problems end-to-end, this is the role for you.

• Use Python and LLM APIs (e.g. OpenAI) to design and deploy automation that replaces manual CS/FS processes.

• Build prototypes, test with real operations data, and scale the successful ones into production workflows.

• Partner with PMs and engineers to operationalise AI-driven solutions across Operations.

• Analyse key operations demand drivers (contact per customer, reason drivers, seasonality, servicing behaviour).

• Identify levers to reduce avoidable demand and improve customer outcomes.

• Build analytical models that drive decision-making around cost optimisation and resourcing.

• Build clear, robust KPI frameworks and funnel views across customer journeys.

• Translate data into commercial insight, operational efficiency recommendations, and productivity tracking.

• Create metrics that scale across new geographies, products, and teams.

• Work directly with Ops Directors, Heads of CS/FS/Fraud/Complaints, and the COO on strategic initiatives.

• Turn raw data into narrative-driven recommendations that are simple, actionable, and commercially grounded.

• Own analytics for high-impact projects end-to-end.
  

• 2-3 years of hands-on experience using Python in a professional setting.

• Highly numerate with strong analytical reasoning

• Ability to independently structure analysis, build prototypes, and deliver insights.

• Experience communicating data-driven recommendations to non-technical business stakeholders.

• STEM Degree

• Experience with dbt or modern data stacks.

• Familiarity with LLMs, APIs, or interest in building AI automation.

• Exposure to product, strategy, or operations environments.

• Thrives in fast-paced, ambiguous environments.

• Comfortable wearing multiple hats Analyst, Data Scientist, AI Engineer, PM.

• Highly motivated, entrepreneurial mindset, and excited by building the strongest operating model in fintech.
  

Screening Call + Python Questions

Live Technical Python Interview

Final interviews with 2 senior leaders

• 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.

Check out our blog!