Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
An established industry player is seeking a talented Data Scientist to join their innovative team. In this role, you will leverage cutting-edge machine learning techniques and a rich data repository to develop risk models that are crucial for the company's success. You'll work collaboratively in a multidisciplinary team, translating business problems into data-driven solutions while communicating insights effectively to stakeholders. This is a unique opportunity to contribute to a fast-growing fintech company that values creativity and initiative, making a real impact from day one.
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:
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
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
What we're looking for
Nice to have's
For this role we'd expect:
Life at Lendable
Check out our blog!