Faculty of Economic and Management Sciences: Department of Auditing - Senior Lecturer

RESPONSIBILITIES

• Lecturing and assessment in the field of Fraud Risk Management at the undergraduate and/or postgraduate level;
• Supervising postgraduate students and providing guidance to students on research-related matters;
• Scientific research and publications in accredited academic journals;
• Academic administration and management.

MINIMUM REQUIREMENTS

• A Master's degree in the broader Auditing field and/or Forensic investigation/ Forensic Accounting and registered as a CASA, ACCA, or CIA OR
• A relevant doctorate degree in the broader Auditing field or in Forensic investigation/ Forensic Accounting related field;

AND in addition to the above

• At least 3 years relevant tertiary teaching or industry experience and demonstrated competence;
• At least 2 accredited publications and/or equivalent recognised scholarly outputs accepted and/or published;
• At least 2 completed Master's students delivered or involvement with PhD supervision; and
• Evidence of professional engagement where applicable.

COMPETENCIES SKILLS, KNOWLEDGE AND BEHAVIOURAL ATTRIBUTES

• Appropriate language and communication skills;
• Digital acumen;
• Ability to effectively function in a team;
• Relevant knowledge of appropriate research methodologies;
• Skills and knowledge of acting as a study leader at the Master's level;
• Ability to effectively manage and evaluate all the research activities of students;
• Independent administration and management of a module if the candidate has teaching experience.

ADDED ADVANTAGES AND PREFERENCES

• Experience in blended learning practices;
• Lecturing experience at postgraduate level;
• Experience in the guidance of postgraduate students' research;
• Experience in the analysis of financial statements and accounting records in order to detect financial crimes;
• Practical experience in the prevention, detection, and investigation of financial crimes, and especially in an IT audit environment;
• Practical experience of data analytics in the fraud risk context/environment:
• Involvement in professional activities where applicable;
• Publications in accredited academic journals;
• The potential to develop into a scholar in the discipline;
• Candidates who are not yet in possession of a doctoral degree should demonstrate the potential and willingness to obtain a doctoral qualification within a reasonable period after the date of appointment;
• Registration with the Association of Certified Fraud Examiners or the Institute for Commercial Forensic Practitioners.