Latest Vacancies at South African Reserve Bank

Brief description

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 SARB Group 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 SARB 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

QUALIFICATIONS

Job requirements

To be considered for this position, candidates must have:

• A minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Management Information Systems OR any other relevant qualificaiton
• 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

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Brief description

The purpose of this position is to realise the responsibilities of the Risk Support Department (RSD) within the Prudential Authority (PA), which is housed in the South African Reserve Bank (SARB), in respect of the regulation and supervision of market risk, equity risk in the banking book, margin requirements and counterparty credit risk (risk types) emanating from the activities in which institutions falling under the supervisory scope of the PA participate.

Detailed description

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

• Understand institutions’ strategies and business models in the relevant environments to which the risk types relate. 
• Monitor the relevant industry’s exposure to the risk types.
• Monitor industry compliance with the regulations governing these risk types.
• Benchmark institutions’ risk management practices with respect to the risk types management best practice.
• Evaluate institutions’ internal models for the management of these risk types.
• Provide specialist input with regards to the risk types to front-line supervision and policy development.
• Develop analytical methods to analyse and interpret risk-based regulatory data submissions.
• Participate in capital/own fund requirement adequacy assessments.
• Contribute to risk-based meetings with representatives of institutions and their auditors.
• Conduct thematic reviews pertaining to the risk types.
• Inform RSD of the aggregate behaviour of banks pertaining to the risk types.
• Develop and maintain regulations and instructions governing the statutory requirements for the risk types. 
• Develop internal policies and processes for supervising the risk types.
• Participate in international and domestic forums related to the establishment of regulations pertaining to the risk types.
• Ensure widespread cognisance and understanding throughout the PA of the concepts and developments in the field of the risk types.

QUALIFICATIONS

Job requirements

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

• a postgraduate degree (NQF 8) in Banking, Computer Science, Data Science, Economics, Finance, Mathematics or Statistics, or another relevant quantitatively focused postgraduate degree; and
• at least 5–8 years of applicable experience in the banking, insurance or financial regulatory sector in positions related to the risk types.

The following would be an added advantage: 

• being a Chartered Financial Analyst (CFA);
• being a Financial Risk Manager (FRM);
• having a Certificate in Quantitative Finance (CQF) or another appropriate industry-recognised certification; and/or
• having a Master of Business Administration (MBA) degree or another relevant Master’s-level (or higher) management-related degree.

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Brief description

The main purpose of this position is to perform prudential oversight of licensed insurance companies on a solo and group level through a combination of on-site and off-site monitoring and supervision to ensure the financial soundness and sound governance of insurance entities.

Detailed description

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

• Process notifications and applications of a financial and non-financial nature and make recommendations in terms of the Insurance Act 18 of 2017 for approval or decline.
• Prepare and implement the supervisory plans of allocated insurers or insurance groups (i.e. insurers with a lower risk profile and a risk rating of ‘limited’ or ‘no concern’).
• Monitor the financial soundness of insurers and insurance groups through the analysis of their monthly, quarterly and annual submissions (both quantitative and qualitative).
• Update and/or prepare the initial risk assessment document for an insurer and insurance group, taking into account the operational structure, business model, financial information, governance, and own risk and solvency assessment (ORSA), including recommendations to close identified gaps. 
• Prepare packs for on-site visits.
• Attend on-site visits and participate in engagements under the guidance of a senior analyst/manager. 
• Draft memorandums and reports relating to the outcomes of on-site visits.
• Maintain databases and records of all relevant information on insurers and insurance groups within the assigned portfolio.
• Liaise with and provide appropriate feedback to internal and external stakeholders after consultation with the manager.

QUALIFICATIONS

Job requirements

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

• a postgraduate qualification (NQF 8) in Accounting, Banking, Economics or Finance; and 
• two years’ experience in the insurance sector, finance sector or risk management environment.

Additional requirements include:

• accounting articles (would be an added advantage);
• problem-solving and analytical skills;
• financial and business acumen;
• attention to detail;
• verbal and written communication skills;
• time management skills;
• the ability to maintain confidentiality; 
• building and maintaining relationships;
• financial sector knowledge, specifically of the insurance industry; 
• corporate governance and risk management practices and standards; and
• IAIS and IOSCO principles, standards and relevant legislation.

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Brief description

The main purpose of this position is to collect, process, compile and analyse capital market and non-bank financial institutions’ statistics to provide quality-assured macroeconomic statistics and analysis for decision-making.

Detailed description

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

• Collect, process, compile and analyse statistics related to the capital market and non-bank financial institutions.
• Check the accuracy of data received, which includes validating source data and liaising frequently with data providers.
• Populate, maintain and enhance relevant databases.
• Analyse and reconcile data and statistics using business intelligence tools to identify trends. 
• Compile draft reports describing how data trends have changed over the past period and why these changes have taken place, including graphs and tables.
• Conduct methodological research into specific topics based on ad hoc requests.
• Assist with presentations as required.
• Perform general administrative and ad hoc tasks required by the unit.

QUALIFICATIONS

Job requirements

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

• an Honours degree in Economics, Finance, Statistics and/or a related field; and
• two to five years’ experience in the field of economic analysis, financial economics, statistics or accounting.

Additional requirements include:

• an affinity for statistics;
• insight and knowledge regarding the international manuals; 
• advanced Microsoft Office skills with the ability to use tools (functions and formulas) to organise, analyse and adjust data; 
• being task-oriented, with time management skills to operate in a deadline-driven environment that often requires working under pressure, without compromising on quality;
• the ability to work independently as well as within a team/project environment;
• good report writing skills;
• an affinity for statistics compilation applying computerised systems;
• taking initiative and problem-solving skills;
• good communication and interpersonal skills; and
• ability to pay attention to detail.