Full Name

Godfrey Mtunzi

Position: Lecturer

Contact Details

[email protected]   

Short Biography

Godfrey Mtunzi is a full-time lecturer in the Department of Finance. He is a Quantitative researcher and developer of statistical and computer algorithms that identify profitable investments while simultaneously managing risk for investment banks, hedge funds, asset managers, and private equity firms. 

Academic Qualifications

 Financial Engineering PhD Candidate, MSc Financial Engineering (WorldQuant USA), Certificate in Data Analysis (UCT, SA), Certificate in Unlocking Investment & Finance (World Bank ), Certificate in Financial Risk and Regulation FRR (GARP, USA), Bcom Hons Finance (NUST Zwe)

Courses Taught

Big Data Management for Finance, Structured Finance, Investment Analysis & Alternative Investments.

Research Interests

• Statistical Characteristics of Financial Markets
• Financial Signal Processing
• Algorithmic Trading Strategies and Optimisation
• Modelling irrational herd behaviour in Financial Markets
• Stock Returns, Betas and Alphas

Community Service Engagement

Godfrey actively participates in community engagement not limited to financial innovation and technology start-ups coaching and fintech short courses curation.