Detailed description

The successful candidate will be responsible for the following key performance areas:

• Discover, profile and analyse financial markets data assets across treasury, trading, post-trade, reference data and related operational processes to establish trusted datasets that support the department’s business and regulatory objectives. This includes data related to instruments, counterparties, transactions, market infrastructure, positions, valuations and reporting obligations within the Financial Markets Department.

• Conduct data analysis to determine various categories of data and information to align with business requirements.

• Identify and assess the structure, quality, completeness and control characteristics of critical datasets, and evaluate their alignment with financial industry standards, business rules and governance requirements.

• Support data management and governance activities by documenting data definitions, lineage, metadata, quality considerations and usage requirements across the relevant business and technology domains.

• Conduct analysis of dataset life cycles from acquisition and ingestion through transformation, storage, consumption, archival and retirement, and support the design and development of sustainable data products.

• Understand business requirements and support the design of data structures, controls and analytical outputs that address matters of data completeness, integrity, consistency and usability across modern data platforms.

• Conduct data analysis to determine the importance of the data to the business and the probability of reuse, aligning data outcomes with departmental needs and enterprise objectives.

• Produce regular reports and provide status updates as well as information for the business domain.

• Develop and manage stakeholder relations to promote data management across the relevant departments, support reliable decision-making, and support data governance and appropriate data usage.

• Establish relationships between business concepts, data elements and system interactions, and assess their impact on operational processes, reporting, controls and decision-making within financial markets operations.

• Provide input and specialist advice as data transitions from source to destination.

• Understand business requirements and support the design of data structures, controls and analytical outputs that address matters of data completeness, integrity, consistency and usability across modern data platforms.

Job requirements

To be considered for this position, candidates must be in possession of:

• a Bachelor’s degree (NQF 7) in Computer Engineering, Computer Science, Data Science, Engineering or an equivalent qualification; and

• five to seven years’ job-related experience within the data analysis environment, including at least three proven years’ experience in financial markets, treasury and/or asset management business operations.

Additional requirements include:

• teamwork;

• exposure to and experience in the corporate real estate environment;

• problem-solving and analysis skills;

• effective communication;

• a drive for results;

• a service and stakeholder focus;

• building and maintaining relationships;

• judgment and decision-making skills;

• impact and influence;

• managing complexity and ambiguity; and

• planning and organising skills.

In line with the SARB’s commitment to diversifying its workforce, preference will be given to suitable candidates from designated groups. People with disabilities are welcome to apply.

The SARB offers remuneration and benefits commensurate with the level of the position and in line with the market. The level at which the successful applicant will be appointed will depend on his/her competence and experience.