This is a permanent role with Hybrid working models.
Relevant Experience
Platform reference architecture
- Build relationships with data owners within the organization who provide information.
- Need to keep up to date with new data assets and products to identify new opportunities, capabilities and trends that would add value to business.
- Provide inputs to the EDM by collaborating with other modelers across group areas.
- Identify opportunities for improvement and recommend new practices.
- Understand and translate business needs into data models supporting long-term solutions.
- Model data required for both enterprise and business use.
- Engage with the relevant data team to ensure that data models built adhere to the FirstRand modelling standards.
- Create data models for analytics and reporting projects
- Ensure models are approved by relevant bodies by presenting them to different governance bodies.
- Propose and present data models to project teams and business stakeholders.
- Maintain the data dictionary internal and external to the data model
- Maintain the business glossary internal and external to the data model
- Represents Markets area at the Data Modelling Design Authority (DMDA) .
- Involved in the entire data modelling lifecycle i.e. Logical to Implemented Physical Model.
- Understanding of the reference and master data requirements and the co-ordination around the use of surrogate keys and enterprise code values when building out data products.
- Identity and apply the right modelling principles for different datasets when modelling (Sensitive Data, Reference Data, Master Data, Personal Information)
- Ensure data models are kept updated to reflect the most recent setting.
- Catalogue data models and ensure the correct model ownership
- Knowledge of data management policies and principles (PCI , PoPI , Data Privacy , BCBS239)
- Optimize and update logical and physical data models to support new and existing projects.
- Validate business data objects for accuracy and completeness.
- Degree in Computer Science / Information Systems
Other eg. Professional Registrations Data Analysis and Modelling
Technical Knowledge/ Skills And Experience In Depth Knowledge Of
- Knowledge of a programming languages (T-SQL, Python)
- Knowledge of Erwin or other modeling tools
- Global Markets Domain (Fixed Income, Foreign Exchange, Money Market, Commodities)
- Engaging with stakeholders and managing expectations
- 2 -3 Data modelling experience
Desired Skills
- T-SQL
- Python
- Erwin
- data management policies and principles
- data modelling lifecycle
- 2 to 5 years