Job Purpose To develop and maintain best practice models and assessment strategies in line with regulations expectations by liaising with stakeholders through the model build process as well as the systems and strategy interacting with external bodies. The challenge model builds from around the cluster through peer review Seek opportunities to improve business processes; models and systems by identifying and recommending effective action where risk is identified in any processes; models or reporting; through analysis and formal communication
consumers
Data consumers transform data to a common data model for reporting and data analysis, and to provide Bricks) Data Modelling and Schema Build: In collaboration with Data Modelers, create data models and database Collaborate with Data Analysts, Software Engineers, Data Modelers, Data Scientists' Scrum Masers and Data Warehouse Programming (Python, Java, SQL) Data Analysis and Data Modelling Data Pipelines and ETL tools (Ab Initio, ADB,
quantitative model building and data analytics. Experience with machine learning model deployment and
quantitative model building and data analytics. Experience with machine learning model deployment and
Scripting, Workflows etc Understanding of Siebel Data Models and Architecture Experience in doing bulk SQL Updates
and other database schema objects. Maintain data model schema within the data warehouse and reporting systems
data solutions. Implement and maintain robust data models and architectures to support analytics and reporting warehousing concepts, ETL processes, and data modelling. Experience with big data technologies and frameworks
assess risk, analyze data, and develop pricing models. This role offers hands-on experience in a fast-paced
to conduct in-depth analyses, develop financial models, and provide valuable insights to support decision-making