About the role
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 those 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 and SQL
Strong proficiency with PyData stack
Knowledge of machine learning techniques
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
Interest in data engineering
Prior experience with credit risk modelling
Prior experience with use of LLMs for document question answering
The interview process
For this role we’d expect:
A phone call with one of the team
An exercise to complete in your own time
Onsite Interview
Discuss the exercise you completed
Meet the team you’ll work with daily
Meet the exec team
