Academic Qualifications

• PhD in Finance, University of Cape Town (2025–present)
  Research focus: Financialisation and market efficiency in non-ferrous metals markets.
• Master of Commerce (Finance), University of Cape Town (2023)
  Thesis: Machine Learning FEARS: Does the inclusion of an investor sentiment factor improve machine-learning-based volatility prediction?
• Postgraduate Diploma in Accounting (2021)
• Bachelor of Business Science (Management Studies – Finance & Accounting), University of Cape Town (2020)

Academic Appointments

• Lecturer, University of the Free State (2026–present)
• Taught: 3rd Year Investment Management; Master’s Financial Modelling
• Supervision of Honours and Master’s research students.
• Assistant Lecturer, University of Cape Town (2022)
• Financial Reporting III (final-year undergraduate).
• Responsibilities included tutorials, consultations, assessment design, marking of tests and examinations, and course administration.
• Also tutored Auditing and Business Analysis & Governance.

Research Output & Scholarly Activity

• Conference Presentation
  Financialisation and Market Efficiency in Non-Ferrous Metals: Evidence from the London Metal Exchange
  South African Finance Association (SAFA) Conference, 2026.

Research Interests

Asset pricing, commodities markets, market efficiency, machine learning in finance.

Professional Experience (Selected)

• Investment Analyst, Mi-Plan Asset Management (2024–2025)
• Associate, PwC (Audit – Financial Services) (2023)

Professional Credentials

• Passed CFA Level I
• RE 5 (Passed)

Technical Skills

Python, R, SQL, financial modelling, quantitative and empirical analysis.

• Conference Presentation
  Financialisation and Market Efficiency in Non-Ferrous Metals: Evidence from the London Metal Exchange
  South African Finance Association (SAFA) Conference, 2026.

EFET 3714 Investment Management:

This module provides students with the foundational knowledge and analytical skills needed to evaluate investment opportunities, assess risk and return, and construct well-diversified portfolios. It explores various asset classes, investment strategies, market efficiencies, and behavioural finance principles. Additionally, students will learn how to analyse equities, fixed-income securities, alternative investments, and derivative markets. The course equips students with both theoretical and practical insights into investment management, preparing them for real-world financial decision-making.

EFMD 7923 Financial Modelling:

The module develops the ability to design, build and critically evaluate financial models that can be used to support investment and risk-based decision making under uncertainty. Students will learn to translate assumptions, data and analytical outputs into structured representations of financial payoffs and risk exposures. The module equips students with the practical judgement required to apply modelling techniques responsibly in environments faced by financial managers, risk professional and investment practitioners.