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
We are excited to be hiring a new Lead Data Scientist into our London 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
Although this role will be working closely with our US products, it will be based in London and follow London our UK working hours
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
Deliver data services to a wide variety of stakeholders by engineering CLI programs / APIs
Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement
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
Extract, parse, clean and transform data for use in machine learning, and analytic evaluations
Build algorithms and predictive models that enhance underwriting quality
Translate business problems into data science problems that facilitate data-driven solutions and drive business strategy
Research new data sources, advise on costs / benefits of introducing the data into lending decisions
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
Be a great mentor to a team of talented data scientists and the broader analytics community
Thrilled by the challenges of driving many exciting data science projects from both strategic level and tactical level
Requirements:
Experience using Python
Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
Knowledge of machine learning techniques and their respective pros and cons
Experience with model governance in the lending industry
Confident communicator and contributes effectively within a team environment
Self driven and willing to lead on projects / new initiatives
Experience of managing data scientists is not required, but good to have
Knowledge of Software Engineering Principles and best practices, including version control, code optimization, modular design, and testing methodologies is not required, but good to have
Benefits:
Cycle to Work scheme
Onsite Yoga
Lunch cooked by onsite chefs 3 times a week
25 days holiday (excl. bank holidays)
Work from home opportunities on Monday and Friday
Private Health Insurance (inclusive of dental and pre-existing conditions)
