Job Description

Purpose of the Job:

The Markets, Issuers and Intermediaries Department of the FSCA is responsible for licensing and supervising market infrastructures, issuers and intermediaries, including OTC Markets, operating within the South African financial markets in terms of the Financial Markets Act, 2012 (Act No. 19 of 2012). Financial markets are increasingly shaped by data-driven trading, algorithmic strategies and the growing use of artificial intelligence by regulated entities, and the Department is strengthening its use of data science, analytics and technology-enabled supervision (SupTech/RegTech) to support effective, forward-looking market regulation. The person appointed to this position will be stationed in the Market Integrity and Decision Sciences Division and will report to the Senior Manager: Public Markets, Issuers and Authorised Users.

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 Manager; 
•Consider licence applications and make recommendations;
•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.

Other Key Competencies:

The applicant must demonstrate the following skills and attributes: strong analytical abilities, attention to detail, active listening, critical thinking, strong financial and numeracy skills, good communication skills (verbal and written), ability to work in a team, Ability to work independently with minimal supervision, innovative and strategic thinking. The candidate must be confident and decisive, approaching all tasks in a professional manner.

The FSCA is committed to increasing the representation of marginalised groups in line with its transformation strategy. Persons with disabilities are encouraged to apply.

Please note that correspondence and communication will only be conducted with short listed candidates and that the FSCA reserves the right not to appoint if a suitable candidate is not identified. 

Job Requirements

A business, economics, accounting, finance, mathematics, statistics, data science or similar, with 7 to 10 years of experience in the financial sector and/or the regulatory environment within the financial services industry. A post graduate degree will be preferred. A postgraduate qualification or specialisation in data science, quantitative analysis, financial engineering, statistics or a related computational field will be an advantage. The candidate must demonstrate an understanding of the mechanics of market infrastructures, investment banking, structured finance or similar, together with a good understanding of the regulatory framework combined with practical experience within the financial services industry. Expert knowledge and/or experience of the functioning of the financial markets is required, including expert knowledge and understanding of complex financial instruments such as derivatives, bonds, equities and foreign exchange, and the risks associated with these instruments. Advanced knowledge of corporate governance frameworks, and advanced understanding of financial analysis and risk management, are essential. Working knowledge of data analytics, statistical modelling and the practical application of machine learning and artificial intelligence techniques to market surveillance, trade monitoring or regulatory supervision (RegTech/SupTech) including familiarity with tools such as Python, R, SQL or equivalent data analysis platforms as well as an understanding of data governance, model risk and responsible and ethical use of AI in a regulatory context will be advantageous. Ability to supervise and lead a team 

Closing Date: 21 October 2026.