At a Glance
- Tasks: Use data and AI to transform operations and drive impactful projects.
- Company: Join one of the UK's fastest-growing fintech companies, backed by top investors.
- Benefits: Competitive salary, equity, remote work options, and a fully stocked kitchen.
- Why this job: Make a real impact on customer experiences and operational efficiency from day one.
- Qualifications: 1-3 years of experience with SQL and Python; strong analytical skills required.
- Other info: Collaborate with a dynamic team in a supportive and inclusive environment.
The predicted salary is between 36000 - 60000 £ per year.
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
About the Role:
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.
What You’ll Do:
- 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 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:
- 1-3 years of hands-on experience using SQL and 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.
Life at Lendable:
- 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.
- We’re an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.
Operations Data Analyst (Special Projects) in London employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Data Analyst (Special Projects) in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at Lendable. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into Lendable's mission and values. Understand their products and think about how your skills in Python and SQL can contribute to their goals. Show them you’re not just another candidate, but someone who truly gets what they’re about.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle real-world scenarios during interviews. Think about how you would use data to improve customer outcomes or streamline operations. They want to see your analytical chops in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and ready to take ownership from day one.
We think you need these skills to ace Operations Data Analyst (Special Projects) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Operations Data Analyst role. Highlight your experience with SQL and Python, and don’t forget to showcase any relevant projects that demonstrate your analytical skills and ability to communicate insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re excited about the role and how your background aligns with our mission at Lendable. Be specific about what you can bring to the team and how you can contribute to our growth.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think critically and come up with innovative solutions, so don’t hold back on sharing your success stories!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Lendable
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as Lendable is looking for someone who can hit the ground running with hands-on experience.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry, especially how Lendable operates within it. Knowing about their products and how they differentiate themselves from traditional banks will show that you're genuinely interested in the role and the company.
✨Prepare for Technical Questions
Expect to face technical questions related to data analysis and automation. Practice explaining complex concepts in simple terms, as you'll need to communicate data-driven insights to non-technical stakeholders effectively.
✨Show Your Problem-Solving Skills
Be ready to share examples of how you've tackled challenges in previous roles. Lendable values resourcefulness, so highlight instances where you've taken ownership of a problem and driven impactful solutions.