Senior Data Scientist - Credit & Lending
Mercury- Full Time
- Senior (5 to 8 years), Junior (1 to 2 years)
Candidates should possess extensive experience in unsecured lending, ideally within the credit card sector, and a deep understanding of lending economics. They should have prior experience developing and maintaining NPV models and affordability strategies, as well as experience with database tables and dashboards for data-driven decision making.
The Credit Risk Manager will lead a team of analysts to develop credit and pricing strategies for Flex products, collaborate with various teams to design and deliver new products and customer journeys, monitor and report on Flex originations performance to stakeholders, and build and maintain data infrastructure to support rapid, data-driven decisions. They will also collaborate with the Decision Science team to maximize value from data through ML models and promote a culture of proactive analysis.
Digital-only banking platform for consumers
Monzo operates as a digital-only banking platform focused on providing a modern way for individuals to manage their finances. Its main product is a mobile app that allows users to track their income, spending, and savings easily. The app includes features that help users save money, such as automatically setting aside a portion of their paycheck or rounding up transactions to the nearest dollar. Monzo generates revenue through interest on deposits, fees for certain services, and interchange fees from card transactions, as well as offering overdrafts and personal loans. What sets Monzo apart from traditional banks is its real-time balance updates and instant spending notifications, which help users stay informed about their finances. The goal of Monzo is to provide a convenient, mobile-first banking experience that meets the needs of its growing customer base, which has surpassed 8 million users.