Purpose of the Job

• To develop information data-driven insights and apply the elements of cognitive science for planning and policy development, design and create the Artificial Intelligence algorithms capable of learning and making predictions that define machine learning, use data as a tool to make decisions and solve business problems through application of math, business, technology, design thinking, and behavioral sciences, and extract insights from large datasets using analysis, visualization, and mathematical computation and in turn transform those insights into actionable business decisions. The person appointed to this position will be stationed in the Market Integrity and Decision Sciences Division and report to the Departmental Head: Market Surveillance and Data Analysis.

Key Performance Areas

• Develops predictive modelling and trend analysis tools that anticipate the needs and provide real-time solutions to meet those needs;
• Acts as the organisation’s Data Analytics expert;
• Understands and extracts meaning from complex data relationships and develops reports to enable effective use of the resulting knowledge; 
• Provide guidance to stakeholders on what data to capture and how to map data needs to business questions;
• Provide in depth analysis of data using data mining and profiling techniques to help FCSA understand industry and customer behaviour and predict future behaviour;
• Defines, implements and standardises metrics, reports and visualisations for the business;
• Deliver key metrics, reports and visualisations with interpretation, contributes to the development of hypothesis and actions;
• Guides, enhances the skills set and develops the data analysis team;
• Manage a team of resources, business plan and budget;
• Ensure that all personnel management activities within the department are dealt with in accordance with staff rules and policies of the FSCA.

Other Key Competencies

• The applicant must demonstrate the following skills and attributes: active listening, critical thinking, analytical thinking, attention to detail, strong financial and numeracy skills, proficiency in using Ms office, excellent communication skills, good interpersonal skills and emotional intelligence. The following abilities are a must for the position, structured problem solving, research & analysis, innovation project management, and stakeholder management.
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• 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.

Requirements

• A Degree in Statistics, Engineering, Mathematics and Operations Research, Data Analytics, Business Analytics, or equivalent qualification. Minimum of 8 to 10 years’ work experience in a field where designing, researching, and implementing machine learning systems, algorithms, and tools was major, preferably in a financial services sector. Have created machine learning models and retrained systems when needed, developed machine learning apps according to requirements, experience with coding and programming languages, including Python, Java, C++, C, R and JavaScrip, and skills in advanced Math and Statistics skills, surrounding subjects such as linear algebra, calculus and Bayesian statistics.