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For Companies At a Glance
- Tasks: Develop credit risk models and analyze data to enhance underwriting quality.
- Company: Lendable is a leading fintech company revolutionizing consumer finance with innovative solutions.
- Benefits: Work from home on Mondays and Fridays, enjoy fresh lunches, and receive private health insurance.
- Why this job: Join a fast-growing unicorn and make a real impact in the fintech space with cutting-edge technology.
- Qualifications: Experience in Python, knowledge of credit industry, and strong communication skills are essential.
- Other info: Expect a dynamic interview process and a collaborative team environment.
The predicted salary is between 43200 - 72000 £ per year.
About the role
Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.
You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models.
Our team’s objectives
- The data science team develops proprietary risk models which are core to the company’s success.
- We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.
- We self-serve with all deployment and monitoring, without a separate machine-learning-engineering team.
How you’ll impact these objectives
- Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value.
- Rigorously search for the best models that enhance underwriting quality.
- 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.
What we’re looking for
- Experience using Python.
- Knowledge of the credit industry, including the products, data, typical ML applications.
- Knowledge of machine learning techniques and their respective pros and cons.
- Confident communicator and contributes effectively within a team environment.
- Self-driven and willing to lead on projects/new initiatives.
Nice to have’s
- Interest in machine learning engineering.
- Strong SQL and interest in data engineering.
- We’re not corporate, so we try our best to get things moving as quickly as possible. For this role we’d expect:
- Initial call with TA.
- Take home task.
- Task debrief interview.
- Case study interview.
- Final interviews.
- Meet the team you’ll work with daily.
- Meet Head of Data Science and Chief Risk Officer.
Life at Lendable (check out our Glassdoor page)
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 chef prepares 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 looking to make Lendable the most inclusive and open workspace in London.
Check out our blog!
About Lendable
Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier. 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 400 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.
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Senior Data Scientist employer: Lendable Ltd
Contact Detail:
Lendable Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with Lendable's products and the credit industry. Understanding the specific data and risk models used in their operations will help you demonstrate your knowledge during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in relation to machine learning applications. Being able to discuss your experience with relevant libraries and frameworks will set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your communication skills. Since you'll need to convey complex data insights to stakeholders, practice explaining technical concepts in a clear and concise manner.
✨Tip Number 4
Be ready to discuss your approach to problem-solving and project leadership. Lendable values self-driven individuals, so share examples of how you've taken initiative in past projects.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Senior Data Scientist at Lendable. Familiarize yourself with their products and the importance of data science in their business model.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Python, machine learning techniques, and any knowledge of the credit industry. Be specific about projects you've worked on that relate to risk modeling or data analysis.
Communicate Clearly: Since clear communication is key for this role, ensure that your application materials reflect your ability to convey complex ideas simply and effectively. Use straightforward language and structure your documents logically.
Show Enthusiasm for Learning: Lendable values self-driven individuals who are eager to learn. In your application, express your interest in machine learning engineering and data engineering, and mention any relevant courses or projects that demonstrate your commitment to continuous learning.
How to prepare for a job interview at Lendable Ltd
✨Understand the Domain
Make sure to familiarize yourself with the products Lendable offers and the data that informs their strategy. This knowledge will help you translate business problems into data questions effectively.
✨Showcase Your Python Skills
Since experience using Python is crucial for this role, be prepared to discuss your past projects and how you've utilized Python in machine learning applications. Highlight any specific libraries or frameworks you are proficient in.
✨Communicate Clearly
Practice articulating your thoughts and findings clearly, both verbally and in writing. You’ll need to communicate results to stakeholders, so being able to present complex data insights in an understandable way is key.
✨Be Ready for Collaboration
Lendable values teamwork, so be prepared to share ideas and learn from others. Think of examples where you contributed to a team project or led an initiative, as this will demonstrate your collaborative spirit.
