Vacancies at FSCA South Africa

Key Performance Areas

• Assist in Identifying shortcomings and anomalies to the regulatory framework;
• Assist in proposing changes to the regulatory framework and assist the Department with the implementation of such changes;
• Assist to develop and maintain an effective and efficient supervisory framework within the context of the approved legislation;
• Assist with the monitoring of compliance with the provisions of the Financial Markets Act and subordinate legislation;
• Assist to plan and conduct inspections;
• Liaise with and render appropriate regulatory guidance to stakeholders after consultation with the Senior Analysts and the Manager; 
• Assist in conducting investigations regarding Market Infrastructures and to ensure that all relevant complaints are dealt with; and
• Apply risk assessment and risk management techniques

Requirements

• A business, economics, accounting, commerce, finance, or mathematics degree or similar with 2 to 3 years of experience in the financial sector and/or the regulatory environment within the financial services industry.
• Good knowledge of corporate governance frameworks. 
• The candidate must also demonstrate an understanding of financial markets, financial instruments and the mechanics of Market Infrastructures. 
• Good knowledge of financial analysis and risk management is essential. 

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Key Performance Areas

• Ability to work independently with minimal supervision;
• Understand and apply provisions and conditions of the legislative framework;
• Ability to apply risk assessment and risk management techniques;
• Plan and execute on-site reviews with professionalism and the required technical standards;
• Assist with the monitoring of compliance with the provisions of the Financial Markets Act, subordinate legislation and the applicable conduct standards.
• Assist to plan and conduct on-site visits and inspections;
• Liaise with and render appropriate regulatory guidance to stakeholders after consultation with the Specialist Analyst and the Manager; and
• Conduct investigations where necessary and ensure that all relevant complaints are dealt with.

Requirements

• A bachelor’s degree in commerce, Finance or Mathematics with 2 to 3 years of experience in the financial sector and/or the regulatory environment within the financial services industry. 
• The candidate must also demonstrate an understanding of the financial markets, financial instruments, and the mechanics of OTC derivatives instruments. 
• Good knowledge of financial analysis and risk management is essential.

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Key Performance Areas

• Pre-process and Transform data for model building and analysis. 
• Troubleshoot data quality issues and work with team members to reach solutions.
• Become fluent in analytical modelling using internal data modelling platforms and tools.
• Develop predictive models for business solutions.
• Deploy predictive and other models to production.
• Develop technical specification for 3rd party platform data integration and streaming.
• Develop compelling visual stories to effectively communicate meaningful insights from big data.
• Participate in continuous improvement efforts to increase available data quality and delivery speed.
• Address ad-hoc domain-specific data analytic requirements from domain or cluster leaders.

Requirements

• Bachelor’s or Honour’s degree in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, Actuarial Science, or equivalent experience with at least 4 years’ working experience in a field where data science and analysis was major, preferably in a financial services sector or regulator.
• Proficient in Python, R, and database technologies. 
• Advanced working Python knowledge. 
• Experience working with relational databases, query authoring Python as well as working familiarity with a variety of databases.

go to method of application »

Key Performance Areas

• Pre-process and Transform data for model building and analysis. 
• Troubleshoot data quality issues and work with team members to reach solutions.
• Become fluent in analytical modelling using internal data modelling platforms and tools.
• Develop predictive models for business solutions.
• Deploy predictive and other models to production.
• Develop technical specification for 3rd party platform data integration and streaming.
• Develop compelling visual stories to effectively communicate meaningful insights from big data.
• Participate in continuous improvement efforts to increase available data quality and delivery speed.
• Address ad-hoc domain-specific data analytic requirements from domain or cluster leaders.

Requirements

• Bachelor’s or Honour’s degree in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, Actuarial Science, or equivalent experience with at least 4 years’ working experience in a field where data science and analysis was major, preferably in a financial services sector or regulator.
• Proficient in Python, R, and database technologies. 
• Advanced working Python knowledge. 
• Experience working with relational databases, query authoring Python as well as working familiarity with a variety of databases.