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- Tasks: Join our team as a Data Scientist, developing cutting-edge credit risk models.
- Company: Lendable is a fast-growing fintech unicorn focused on transforming consumer finance.
- Benefits: Enjoy remote work options, healthy lunches, and top-notch compensation including equity.
- Why this job: Make a real impact from day one in a collaborative, innovative environment.
- Qualifications: Experience with Python, SQL, and machine learning techniques is essential.
- Other info: We prioritize well-being and inclusivity, making Lendable a great place to grow.
The predicted salary is between 43200 - 72000 £ per year.
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
About the role
We are excited to be hiring a new Data Scientist into our team! 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 teams’ objectives
- The data science team develops proprietary behavioural models combining state of the art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management.
- Data scientists 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.
- Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement.
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.
Key skills
- Experience using Python and SQL
- Strong proficiency with PyData stack
- 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
- Interest in machine learning engineering
- Strong SQL and interest in data engineering
Interview process
- Initial call with TA
- Take home task
- Task debrief and case study interview
- Final interviews with Exec team
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 !
#J-18808-Ljbffr
Data Scientist employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with Lendable's mission and values. Understanding their focus on consumer finance and the importance of transparency will help you align your answers during interviews and demonstrate your enthusiasm for their goals.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the Data Scientist role. Consider working on personal projects or contributing to open-source projects that showcase your ability to apply machine learning techniques effectively.
✨Tip Number 3
Prepare to discuss your experience with behavioral models and risk management. Be ready to share specific examples of how you've used data to solve business problems, as this will resonate well with Lendable's objectives.
✨Tip Number 4
Practice your communication skills, both verbal and written. Since you'll need to convey complex data insights to stakeholders, being able to explain your findings clearly and concisely will set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Lendable's mission and values. Familiarize yourself with their products and how data science plays a role in their success. This will help you tailor your application to align with their goals.
Highlight Relevant Skills: Make sure to emphasize your experience with Python, SQL, and machine learning techniques in your CV and cover letter. Provide specific examples of projects where you've successfully applied these skills, as this is crucial for the Data Scientist role.
Showcase Communication Skills: Since clear communication is key in this role, include examples in your application that demonstrate your ability to convey complex data insights to non-technical stakeholders. This could be through presentations, reports, or collaborative projects.
Tailor Your Application: Customize your CV and cover letter for the Data Scientist position at Lendable. Use keywords from the job description and focus on how your background and experiences make you a perfect fit for their team and objectives.
How to prepare for a job interview at Lendable
✨Understand the Domain
Make sure you familiarize yourself with the consumer finance products that Lendable offers. Understanding how data informs strategy and risk modeling will help you contribute effectively during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and the PyData stack. Highlight specific projects where you've applied machine learning techniques and be ready to explain their pros and cons.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. You’ll need to communicate results to stakeholders, so demonstrating strong verbal and written communication skills is crucial.
✨Demonstrate Initiative
Lendable values self-driven individuals who can lead projects. Be ready to share examples of how you've taken ownership in past roles and contributed to team success.
