About the position
Jobe Title: DATA MODELLER -FIN SURV
Purpose of the job:
To lead, define and drive the improvement of data modelling and development of data maturity standards within Financial Surveillance Department (FNSD) to support reliable and effective decision making.
Detailed description
The successful candidate will, among other duties, be responsible for the following key performance areas:
- Lead modelling design, implementation, and documentation of ISO20022 data modelling solutions which include but not limited to the use of relational, dimensional and NoSQL databases.
- Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the company against best practices.
- Develop standards, guidelines, processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure appropriate translation and specification of business information requirements.
- Align and develop company Data Reference model (conceptual, logical, physical models, data flow, data catalogue, business glossary, metadata, and Master Data Management models)
- Lead and perform oversight on the improvement of ISO 20022 data modelling capability.
- Collaborate with other SMEs on plans for data security, backup, disaster recovery, business continuity and archiving.
- Promote and align data strategy and data management practices in line with applicable regulatory compliance, industry policies and standards.
- Provide mentorship and guidance to other data management specialist.
- To develop and manage stakeholder relations effectively to promote data modelling awareness across the organisation and support reliable decision making.
- To assist with development of data pipelines, data analysis and data testing.
- To support the data management team in resolving data development issues.
To assist the data management team with relevant data management projects
Job requirements
- A minimum of bachelor’s degree in computer science, Computer Engineering, Management Information Systems OR any other relevant qualification
- A relevant data modelling certification (e.g. CDMP) would be an added advantage.
- A minimum of 5 - 8 years’ experience in the field of data management with 5 years as a Data Modeller.
Additional requirements include:
- Industry, organisational and business awareness knowledge
- Payment systems knowledge (e.g. SWIFT, ISO 20022)
- Data architecture knowledge
- Data architecture skills
- Data modelling and development knowledge
- Data modelling and development skills
- Quality assurance skills
- EIM strategy skills
- EIM planning knowledge.
Behavioural competencies:
- Analysis and problem solving
- Effective communication
- Planning and organising
- Service and stakeholder focus
- Conceptual thinking
- Innovation and creativity
- Drive for results
Desired Skills:
- DATA ANALYSIS
- IMPLEMENTATION
- DATA MANAGEMENT
