Africa faces enormous energy challenges. Power shortages reduce the region's annual growth by 2-4 percent, stifling creating jobs and alleviating poverty. Furthermore, the power generation gap between Africa and other areas is widening despite a decade of growth.
Can we avoid catastrophic climate change while constructing the energy infrastructure to drive economic growth, generate jobs, and raise millions of people out of poverty? For Africa, this is a critical question. No region has contributed less to the climate catastrophe, but no part will pay a more significant . . .
Ken is a Quantitative Trader with experience in investments, quantitative finance, financial modelling and algorithmic trading in Global Investable Markets (GIM). He enjoys using Bayesian Statistics, Time Series and Machine Learning in developing Robust consistent Alphas in Equities Market, FX, ETPs and Derivatives instruments. He enjoys deep dives in understanding High Frequency Trading infrastructures and improving how the African financial markets work. He holds a Bachelor's in Actuarial Science from Strathmore Institute of Mathematical Sciences : An Executive Program in Algorithmic Trading (EPAT) certificate in Algo Trading from QuantInsti : A current MSc student in Financial Engineering at World Quant University.