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For Companies At a Glance
- Tasks: Transform operations with data, AI, and automation while working on strategic projects.
- Company: Join a leading fintech company focused on innovation and collaboration.
- Benefits: Competitive pay, equity options, remote work flexibility, and health insurance.
- Why this job: Make a real impact by shaping the future of operations in fintech.
- Qualifications: 2-3 years of Python experience and strong analytical skills required.
- Other info: Enjoy a dynamic team environment with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
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 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.
What You’ll Do
- 1. Automation & AI Engineering
- 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.
- 2. Demand Analytics & Strategy
- 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.
- 3. KPI & Funnel Intelligence
- 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.
- 4. Work With Senior Leadership
- 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.
What We’re Looking For
- Must-Have Skills
- 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.
- Nice-to-Haves
- 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.
Why Join
- Work on high-visibility, high-impact projects that directly shape the future of Lendable’s operations.
- Build automation and analytics used daily by hundreds of agents and thousands of customers.
- Collaborate with a small, sharp, and ambitious team that moves fast.
- Real ownership: if you build it, you’ll see it shipped and scaled.
Interview process
- Screening Call + Python Questions
- Live Technical Python Interview
- Final interviews with 2 senior leaders
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 we all come together IRL to be together, build and exchange ideas.
Our in-house chefs prepare fresh, healthy lunches 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.
We’re an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London.
Data Analyst (Strategic Projects) employer: Lendable Ltd
Contact Detail:
Lendable Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Strategic Projects)
✨Tip Number 1
Get your networking game on! Reach out to folks in the fintech space, especially those who work at Lendable or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Python, LLMs, or automation, create a mini-project or a portfolio piece. Share it during interviews or even on LinkedIn to catch the eye of hiring managers.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python skills and be ready to tackle real-world problems. Practising with mock interviews can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst (Strategic Projects)
Some tips for your application 🫡
Show Off Your Python Skills: Since we're looking for someone with 2-3 years of hands-on experience in Python, make sure to highlight your relevant projects. Share specific examples where you've used Python to solve problems or automate processes, as this will really catch our eye!
Keep It Clear and Concise: When you're writing your application, remember that clarity is key! Use straightforward language to explain your experience and how it relates to the role. We want to see your analytical reasoning shine through without any fluff.
Connect the Dots: Make sure to link your past experiences to the responsibilities outlined in the job description. If you've worked on demand analytics or built KPI frameworks, let us know how those experiences can help us improve customer outcomes at Lendable.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s super easy and straightforward – just like we like it!
How to prepare for a job interview at Lendable Ltd
✨Master Your Python Skills
Since this role heavily relies on Python, make sure you brush up on your coding skills. Practice common Python problems and be ready to demonstrate your ability to build prototypes or automate processes during the technical interview.
✨Know Your Data
Familiarise yourself with key demand analytics concepts and be prepared to discuss how you would analyse operations demand drivers. Think about examples from your past experience where you've turned data into actionable insights, especially for non-technical stakeholders.
✨Prepare for Strategic Conversations
You’ll be working closely with senior leadership, so practice articulating your thoughts clearly and concisely. Prepare to discuss how you would approach strategic initiatives and present your data-driven recommendations in a narrative format that resonates with business leaders.
✨Show Your Curiosity and Problem-Solving Skills
This role is all about owning problems end-to-end. Be ready to share examples of how you've tackled complex issues in the past. Highlight your curiosity and willingness to explore new technologies, like LLMs and automation, as these will be key in your potential role.