At a Glance
- Tasks: Analyse data to optimise pricing strategies and improve loan products.
- Company: Join Lendable, a leading fintech unicorn transforming credit access.
- Benefits: Flexible working, health coverage, and a fully stocked kitchen.
- Other info: Collaborative team culture with mentorship and career growth opportunities.
- Why this job: Make a real impact in a fast-growing tech company with innovative solutions.
- Qualifications: Experience in Python, SQL, and strong analytical skills required.
The predicted salary is between 29700 - 36300 £ per year.
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 700 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.
About the team
Lendable is the UK market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this, developing the credit risk models and strategies to underwrite loan and credit card products. Our team is primarily focused on the pricing domain but we also work on other areas including product and credit. We implement a range of machine learning techniques and analytical tools to continually improve our product offering.
About the role
You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams.
Our team's objectives
- The pricing team owns the loans funnel analytics and pricing strategy
- We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions
How you'll impact those objectives
- Learn the domain of products that Lendable serves, understanding the data that informs strategy and modelling is essential to being able to successfully contribute value
- Research and propose improvements to our existing pricing strategies and modelling methodology
- Work closely with the credit team to align pricing decisions with credit risk and underwriting strategy
- Clearly communicate results to stakeholders through verbal and written communication
- Share ideas with the wider team, learn from and contribute to the body of knowledge
Key Skills
- Experience using Python (pandas, numpy, scikit-learn) and SQL
- Theoretical understanding of core ML techniques and statistical principles
- Strong numerical and analytical skills, comfortable working with large datasets
- Confident communicator and contributes effectively within a team environment
- Self-driven and willing to take ownership of specific tasks and analyses
- 1-2 years' experience in a technical, analytical or data-focused role
Nice to Have
- Exposure to credit risk or financial datasets
- Interest in Data Engineering
- Prior experience with financial or pricing modelling
The interview process
- A phone call with one of the team
- Video Call case study (Remote)
- Onsite Interview
- Culture Interview
Life at Lendable
- 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.
Analyst in London employer: Lendable
Lendable is an exceptional employer that champions innovation and flexibility, making it an ideal place for a Senior Kotlin/JVM Engineer to thrive. With a vibrant work culture that prioritises collaboration and personal growth, employees are encouraged to develop their skills while contributing to impactful financial products. The company's commitment to flexible working arrangements further enhances the work-life balance, making it a rewarding environment for those looking to make a difference in the fintech space.
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We think this is how you could land Analyst in London
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We think you need these skills to ace Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Lendable, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lendable. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lendable
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lendable!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
