Data Modeler

SUMMARY:
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. POSITION INFO:
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