Associate Professor/ Senior Lecturer/ Lecturer: Financial Risk
Faculty of Economics and Management Sciences
Department of Statistics and Actuarial Science
Associate Professor/ Senior Lecturer/ Lecturer: Financial Risk Management
(Stellenbosch Campus)
Ref. EBW08/222/0925
The Department of Statistics and Actuarial Science at Stellenbosch University (SU) offers both undergraduate and postgraduate education in (Mathematical) Statistics, Data Science, Actuarial Science and Financial Risk Management. Members of the Department are also actively engaged
in research and consulting in these fields. The Department has excellent computing facilities (hardware as well as software) in support of these activities. A position at associate professor, senior lecturer or lecturer level in the Financial Risk Management section is available in the Department.
Further information is available on the Department’s website at http://www.sun.ac.za/statistics.
Duties:
For appointment as Associate Professor:
• Teaching and developing undergraduate and postgraduate courses in Financial Risk Management.
• Participating and taking a leading role in the Department’s research activities in Financial Risk Management.
• Supervision of postgraduate students.
• Administration of the Financial Risk Management programme.
• Assisting the Department with liaising with the financial industry and enhancing and expanding industry ties and collaboration.
For appointment as Senior Lecturer:
• Teaching and developing undergraduate and postgraduate courses in Financial Risk Management.
• Participating in the Department’s research activities in Financial Risk Management.
• Supervision of postgraduate students.
• Administration of the Financial Risk Management programme.
• Assisting the Department with liaising with the financial industry and enhancing and expanding industry ties and collaboration.
For appointment as Lecturer:
• Teaching and developing undergraduate courses in Financial Risk Management.
• Participating in the Department’s research activities in Financial Risk Management.
• Supervision of honour’s students.
Requirements:
The Associate Professor incumbent must meet at least requirements (1), (2) and (3) below:
1. A PhD in the Mathematical Sciences (Financial Risk Management, Mathematical Statistics,
Financial Mathematics or related fields).
2. An established research career, including publications in peer-reviewed journals.
3. Suitable experience supervising postgraduate students, including, but not limited to, master’s students and full theses or dissertations.
• Any candidate fulfilling (1), (2) and (3) must have proven practical experience in, inter alia, discrete-time processes (“P quant”) and proven technical research output within the quantitative Financial Risk Management/Analysis field. This position is not for continuous risk-neutral processes (“Q quant”) specialists.
• For any candidate fulfilling (1), (2) and (3), kindly note that the selection process includes a mock lecture to assess candidates’ pedagogical approach, subject mastery, and engagement techniques. Shortlisted candidates will be required to present such a mock lecture to a representative academic audience, enabling assessment of their teaching style and instructional clarity.
The Senior Lecturer incumbent must fulfil any of requirements (1), (2) or (3) below:
1. A master’s degree in the Mathematical Sciences (Financial Risk Management, Mathematical Statistics, Financial Mathematics or a related field):
o Including at least five years’ experience and engagement with public or private organisations, consulting activities, or policy that demonstrates management, leadership, expertise and/or thought leadership in the field of Quantitative Financial Risk Management/Analysis; and
o A commitment to commence with a PhD in Mathematical Sciences (Financial Risk Management, Mathematical Statistics, or Financial Mathematics) within 18 months of appointment.
2. OR has a PhD in the Mathematical Sciences (Financial Risk Management, Mathematical Statistics, or Financial Mathematics).
3. OR is a recognised fellow of the Actuarial Society of South Africa with at least a master’s degree.
• Any candidate fulfilling (1), (2) or (3) must have proven practical experience in, inter alia, discrete-time processes (“P quant”) and proven technical research output within the quantitative Financial Risk Management/Analysis field. This position is not for continuous risk-neutral processes (“Q quant”) specialists.
• For any candidate fulfilling (1), (2) or (3), kindly note that the selection process includes a mock lecture to assess candidates’ pedagogical approach, subject mastery, and engagement techniques. Final-stage candidates will be required to conduct such a mock lecture to a representative academic audience, enabling assessment of their teaching style and instructional clarity.
For appointment as Lecturer:
1. Completed/submitted for examination (by the time of appointment) of at least a Master’s degree in Mathematical Sciences (Financial Risk Management, Mathematical Statistics, Financial Mathematics or a related field).
2. The ability to teach Financial Risk Management at undergraduate level.
3. Proven experience in discrete-time processes (“P quant”), including computer programming competencies in same.
Recommendations:
For appointment as Associate Professor:
• Teaching experience at undergraduate and postgraduate level.
• A reasonable history of publications in accredited journals, some international.
• Computing skills in at least VBA, MATLAB, R, Python or SAS.
• The ability to function effectively in a multilingual environment where Afrikaans and English are the dominant languages.
For appointment as Senior Lecturer:
• Teaching experience at undergraduate and postgraduate level.
• An early career history of publications in peer-reviewed journals.
• Computing skills in at least VBA, MATLAB, R, Python or SAS.
• The ability to function effectively in a multilingual environment where Afrikaans and English are the dominant languages.
For appointment as Lecturer:
• Teaching experience at undergraduate level.
• Computing skills in at least VBA, MATLAB, R, Python or SAS.
• The ability to function effectively in a multilingual environment where Afrikaans and English are the dominant languages.
Commencement of duties:
01 January 2026 or as soon as possible thereafter
Closing date: 20 October 2025
Enquiries regarding this post: Prof Daniel Polakow on 021 808 3955/3244, or at [email protected]
Enquiries regarding remuneration/benefits, as well as technical assistance with the electronic application process: Human Resources Client Services Centre on 021 808 2753 (Stellenbosch) / 021 938 9636 (Tygerberg), or at [email protected]
Stellenbosch University is committed to employment equity (EE), and appointments will be
made in line with the EE plan for the specific environment as well as the EE Plan of the University.
Stellenbosch University reserves the right not to make an appointment.
Your application, comprising a comprehensive curriculum vitae (including the names and email addresses of at least three referees), must reach the University before or on the closing date of the advertised post.
APPLY ONLINE AT https://www.sun.ac.za/english/careers BY USING THE APPLY NOW LINK
AT THE TOP RIGHT-HAND CORNER OF THE SPECIFIC VACANCY PAGE.
The University reserves the right to investigate qualifications and conduct background checks on all candidates.
The Occupational Health and Safety Act requires people in occupations that entail potential exposure to certain hazards (such as, but not limited to: noise, hazardous chemical substances and hazardous biological agents) to be subjected to medical screening, to determine their fitness
to work in the said occupations.
Should no feedback be received from the University within four to six weeks of the closing date, kindly accept that your application did not succeed.