2 of 2 Data Analysis Jobs in Knutsford

the 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. Responsibilities 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 the decisioning framework. The architect must ensure the system provides a robust audit trail for all lending More ❯

the technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on shaping the overall architecture for the lending process-combining data, advanced analytics, and regulatory knowledge to deliver automated, efficient, and compliant decision-making platforms. Key Responsibilities Architect decision platforms : Design, build, and implement technical architecture for end-to-end … credit risk decisioning and affordability solutions. This includes integrating internal and external data sources, analytical models, and rule-based engines. Develop credit strategy : Translate business objectives and credit policy into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and … technical audiences. Required Skills & Qualifications Technical Skills Extensive experience with decision engine platforms (eg, FICO Blaze Advisor, Pega, or other predictive/rule-based tools). Expert knowledge of data analysis tools and programming languages (Python, R, SAS), plus proficiency with databases and data warehousing. Strong background in enterprise-level system architecture, including integration of decisioning engines More ❯