At a Glance
- Tasks: Analyse data to drive impactful lending decisions and strategies.
- Company: Join Lendable, a fast-growing fintech unicorn revolutionising credit access.
- Benefits: Competitive salary, equity options, remote work flexibility, and health insurance.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in a dynamic startup environment while honing your analytical skills.
- Qualifications: University student with coding skills in Python or SQL and a passion for numbers.
The predicted salary is between 400 - 1200 £ per month.
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.
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
This is a 10 week internship program starting from 30th June. Salary - £48,000 (per annum). We’re looking for a super smart student who is great with numbers and loves problem solving to come and apply your skills in a start-up environment and have a big impact on our business and how we do things.
What you’ll be doing:
- Use your analytical and problem-solving skills to generate key insights from data, and use that insight to drive meaningful change in our strategy
- Using data and modelling to ground assumptions for our NPV model, such as predicting what default rates will be in the future, and using that to inform our lending decisions
- Using data and analytics to drive decisions about who we should lend to, and how much we should lend to them, and how that changes with the economy and competition changes
- Conducting hypothesis testing, and using your findings to change how we do things in areas such as lending strategy, pricing, and fraud detection
- Presenting your findings to senior leaders in the company, then work with the product/tech team to get them implemented
What we’re looking for:
- A university student in their penultimate year (can be undergraduates, masters or PhD students)
- Must have coding skills in Python or SQL
- Someone that loves numbers! You’ll be working with numbers every single day in this role so you’ll be able to demonstrate your ability to work with complex data sets, analyse them and draw insights
- You’ll have a natural curiosity and love to dig into things to understand how they work
- Startup mindset. We’re a fast-growth tech startup so you’ll be super excited to work in an entrepreneurial environment and have a real impact on the business
Interview Process:
- Coding take home task
- Remote (video call) Task Debrief (60 mins)
- Remote (video call) case study (60 mins)
- In-person case study (60 min) + Culture Add Conversation (15 minutes) + a chance to meet other recent grads over lunch (30-45 minutes)
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.
Credit Analyst Intern 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.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Analyst Intern
✨Tip Number 1
Get to know Lendable inside out! Research their products, values, and recent news. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their mission.
✨Tip Number 2
Practice your coding skills in Python or SQL before the interview. Brush up on data analysis techniques and be ready to discuss how you've used these skills in past projects or coursework. We want to see your problem-solving prowess!
✨Tip Number 3
Prepare for the case study by familiarising yourself with common lending strategies and economic factors that affect them. Think about how you would approach the problem and be ready to present your insights clearly and confidently.
✨Tip Number 4
Don’t forget to showcase your startup mindset! Share examples of when you've taken initiative or worked in fast-paced environments. Lendable loves resourceful individuals who can adapt and thrive in a dynamic setting.
We think you need these skills to ace Credit Analyst Intern
Some tips for your application 🫡
Show Your Numbers Game:When you're writing your application, make sure to highlight your love for numbers and data. We want to see how you've used analytical skills in the past, so share specific examples that showcase your problem-solving abilities!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the skills and experiences that align with the Credit Analyst Intern role. We appreciate when candidates show they understand our mission and values.
Be Authentic:Let your personality shine through in your written application. We’re looking for someone with a startup mindset, so don’t be afraid to express your enthusiasm for working in a fast-paced environment and your curiosity about how things work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Lendable!
How to prepare for a job interview at Lendable
✨Know Your Numbers
As a Credit Analyst Intern, you'll be working with complex data sets daily. Brush up on your analytical skills and be prepared to discuss how you've used data to drive decisions in the past. Show them you can turn numbers into insights!
✨Master Your Coding Skills
Since coding in Python or SQL is a must for this role, make sure you're comfortable with both. Practice common coding problems and be ready to showcase your skills during the take-home task and case studies. Confidence in your coding abilities will set you apart!
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry, especially Lendable's products and services. Be ready to discuss how you think data analytics can improve lending strategies or customer experiences. Showing genuine interest in their mission will impress the interviewers.
✨Prepare for Hypothesis Testing
Since you'll be conducting hypothesis testing, think of examples where you've tested assumptions in your previous work or studies. Be ready to explain your thought process and how you arrived at your conclusions. This will demonstrate your problem-solving mindset!
