Top Tech Jobs & Startup Jobs

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.

Build and operate ML platform systems that enable teams to train, evaluate, deploy and serve models. Work on backend services, Python libraries, model lifecycle tooling, evaluation workflows and low‑latency serving using Go/Python, Kubernetes and cloud infrastructure, prioritizing reliability, observability, safety and developer experience.

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.

Deliver assurance reviews across regulations, processes and controls; provide actionable feedback and reports; support assurance planning, remediation tracking and compliance risk assessments; collaborate with stakeholders to strengthen control environment and embed compliance culture across the business.

Lead credit strategy for Monzo's credit card products: design underwriting and limit strategies, analyse portfolio performance and profitability (NPV), build segmentation and forecasting, run deep-dive analyses, partner with Product/Engineering/Data Science, evaluate commercial/customer impacts, present recommendations to senior stakeholders, and ensure regulatory and governance alignment.

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.

Design and optimise downstream data models in BigQuery to support reporting, ML, financial and regulatory use cases. Build and maintain scalable ETL pipelines, define data modelling and testing standards, improve warehouse performance and data quality, collaborate cross-functionally, own pipelines and provide occasional on-call 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.

The IFRS9 Modeller will develop and manage IFRS 9 models focusing on credit risk, conduct analysis, and collaborate with multiple teams for model performance monitoring.