2 of 2 Contract Data Warehouse Jobs in the North West

Job summary WWL is pleased to offer a rare opportunity for a dynamic, forward-thinking individual to join our award-winning Data Analytics and Assurance Team. It's an exciting time to join the Department as we transition to our new Snowflake Data Platform. You'll be passionate about using data and statistics, working … closely with key stakeholders to deliver high-quality, insightful analytics that influence decision-making and improve patient care and outcomes. You'll bring extensive data analysis skills, a desire to fully understand questions and scenarios, and the ability to provide recommendations where answers aren't always obvious. You'll work both autonomously and as part of a team … projects, providing expert knowledge of national standards, in-house designed statistical intelligence, and insightful apps. You'll promote the proactive use of intelligence and support the Trust's data-driven strategy. We offer flexible working with a blend of office and home-based arrangements. This vacancy is open to internal and external candidates. NHS employees should ideally secure More ❯

technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Key responsibilities A credit risk decisioning and affordability architect has a wide range of responsibilities … including: Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end credit risk decisioning and affordability solutions. This includes integrating various data sources (internal and external), analytical models, and rule-based engines. Developing credit strategy: Translate business objectives and credit policy into technical requirements and system rules. This includes defining risk appetite, decision flows … and the criteria for approving, denying, or referring credit applications. Overseeing model development: Work closely with data scientists and credit risk model developers to integrate statistical and machine learning models into the decisioning architecture. This includes models for credit scoring, loss forecasting, and affordability assessments. Ensuring regulatory compliance: Incorporate all relevant regulatory requirements (eg, responsible lending obligations) into More ❯