• Excellent technical skills in Python, SQL, and statistics
• Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
• Hands-on experience across the model lifecycle from scoping and model development to deployment and monitoring
• Successful track record of managing complex projects, with cross-functional teams and senior stakeholders
• Confident and effective communication both internally and externally

Desirable

• We are excited to be hiring a Data Science Manager (US Products) 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 best in market credit risk models
• You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team across UK and US products
• You will manage a team of 2 experienced and self-sufficient data scientists who are dedicated to US products
• Although this role will be working closely with our US products, it will be based in London and follow 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, existing customer management, and marketing
• 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
• Own the data science roadmap to contribute to business objectives and prioritise projects based on impact
• Build trust and influence a diverse range of leaders and stakeholders
• Drive many exciting data science projects from both strategic level and tactical level
• 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

• Initial call with TA
• Hiring Manager Call
• Take home task
• Task debrief and case study interview
• Final interviews with Head of US, CRO and Head of Data Science