Model Data & Implementation Analyst
Core
End-to-end lifecycle management of modelling data and implementation processes for credit models, including design, testing, documentation, and embedment into operational workflows.
Role type
Mid-level IC data analyst (credit modelling)
Builds
Credit risk models and their operational embedment within banking systems
Domain
Banking / Credit Risk / Data Engineering
Deliverable
production ML models
Required skills
Modelling data preparation, data quality assessment, model implementation code development, stakeholder communication, project management, policy adherence analysis
Preferred skills
Credit policy interpretation, model use guidance and training, documentation creation
Technologies
None explicitly stated
Responsibilities
Design and manage modelling data preparation processes, conduct modelling data testing and data quality assessment, develop and test model implementation code and artefacts, create model implementation and control documentation, facilitate model embedment into credit operational processes, assist stakeholders with model use guidance and training
Seniority
Mid-level, hands-on IC