Position: Lecturer

Email address: divine.jigu@nust .ac.zw

Biography

Divine Jigu is a Financial Engineering lecturer revered for his mastery of mathematical finance, computational methods, and dedication to leveraging advanced tools. He specialises in derivatives pricing and stochastic optimization, and financial technology. Divine Jigu’s research extends to machine learning and AI applications in finance, enhancing predictive modeling and risk assessment. His work contributes significantly to academic advancement and practical applications in the financial industry, addressing complex challenges with innovative computational solutions. As a mentor, he inspires future financial engineers to excel in dynamic and competitive markets.         

Academic Qualifications

MSc Financial Engineering (NUST)

BScEd (Hons) Physics (NUST)

Associate Degree in Software Development (BYUI)

Diploma Education (UZ)

Courses Taught

Stochastic Analysis and Optimisation in Finance

Product Design and Engineering

Financial Engineering

Research interests

Research interests extend to cutting-edge areas at the intersection of financial engineering and computational methods, including:

• Machine Learning and AI in Finance
• Quantitative Finance and Stochastic Processes
• Financial Technology
• Risk management and Optimisation

Research Links

DOI: http://dx.doi.org/10.13140/RG.2.2.28730.44486

DOI: http://dx.doi.org/10.13140/RG.2.2.28110.61764

DOI: http://dx.doi.org/10.13140/RG.2.2.30259.53289/1

Community Service Engagement

Was a member of the consultant group for the UNESCO / SIDA project reviewing the Science, Technology and Innovation policy in Zimbabwe.