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The Lead Analytics Engineer will oversee data architecture for borrowing, develop robust data models, enhance data governance, and improve data practices to enable financial goals for customers.

Second-line oversight of Treasury Markets' £9.5bn investment portfolio: monitor wholesale credit, market and liquidity risk; write independent credit assessments; stress-test ABS/CLOs; review collateral and ALM inputs; ensure controls and contribute 2LoD opinions and forum reporting.

Lead Analytics Engineer to architect and scale Operations data in BigQuery, build robust ETL and data models for reporting, ML and LLM use, drive re-architecture of domains, set DW best practices, own data governance and testing, lead through others, and provide on-call pipeline support.

Drive Operations transformation by coordinating the Scaling Plan, building data-backed business cases, owning end-to-end initiatives, translating customer insight into clear recommendations, monitoring industry trends, and applying AI and automation to improve processes. Work cross-functionally to surface risks, align teams, and implement operational improvements that scale support and create enterprise value.

The Pricing Analyst will optimize insurance pricing through data analysis, experimentation, and collaboration, improving growth and profitability while managing day-to-day pricing performance.

As a Senior Machine Learning Scientist, you'll improve customer outcomes through automated decisioning using ML and statistical modeling, focusing on credit risk modeling and collaborating with cross-functional teams.

The Product Director will lead the Flex product’s growth, set strategy, drive performance, ensure customer satisfaction, and lead a team of Product Managers.

The Lead Product Designer will tackle complex design challenges, define product visions, enhance design systems, and collaborate across teams at Monzo. They are expected to lead projects, mentor team members, and improve customer-centric solutions using innovative design methodologies.

Lead and develop a team of ML specialists to deliver production ML systems for fraud and financial crime. Set priorities, ensure model lifecycle practices (development, deployment, monitoring, governance), partner with Product, Risk, Engineering and Data, and raise standards for performance, explainability, reproducibility and observability while building an inclusive high-performing team.

Lead the planning and delivery of prudential regulatory deliverables (ICAAP, recovery planning, RAF), support capital planning, ALCO reporting and KRI maintenance, assess prudential regulatory change, embed recovery/resolution processes, manage projects to implement regulatory requirements, lead and develop a high-performing Financial Risk team, and communicate outcomes to senior stakeholders across the bank.