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Katlego Mokwena

Katlego Mokwena

Quantitative Analyst

Accounting / Finance

Johannesburg, City of Johannesburg Metropolitan Municipality

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About Katlego Mokwena:

Junior Quantitative Analyst with a keen interest in applying quantitative methods to help companies identify profitable investment opportunities and manage risk. I started my career as a math and science tutor where I developed a passion for numbers and applied for an entry level position in the finance industry while I completed my degree in Quantitative Finance. In the finance industry I worked in banking and insurance where I learnt how to collect data, verify data and use it to build forecast models that were used to predict returns on investments/ calculate potential risks on insurance policies. I also gained knowledge of IFRS9 financial instruments standard for calculation of credit impairments. I used programs such as Excel, SQL , MatLAB and Python to build the forecast models and analyse trends in data

Experience

Junior Quantitative Analyst with a keen interest in applying quantitative methods to help companies identify profitable investment opportunities and manage risk. I started my career as a math and science tutor where I developed a passion for numbers and applied for an entry level position in the finance industry while I completed my degree in Quantitative Finance. In the finance industry I worked in banking and insurance where I learnt how to collect data, verify data and use it to build forecast models that were used to predict returns on investments/ calculate potential risks on insurance policies. I also gained knowledge of IFRS9 financial instruments standard for calculation of credit impairments. I used programs such as Excel, SQL , MatLAB and Python to build the forecast models and analyse trends in data

Education

2018-2020 COMPLETED BCom Quantitative Finance, University of South Africa • Quantitative Finance offers a systematic and scientific approach to problem solving and decision making in complex environments and situations of uncertainty and conflict. The discipline is characterised by a search for an optimal (best) answer for a problem by using quantitative (numerical) models. 2023-2025 CURRENTLY COMPLETING BSc Mathematics and Statistics, University of South Africa • The purpose of the qualification is, in one or more sub-fields within the physical, mathematical, computer, life, earth, and environmental sciences: To produce science graduates who have: a systematic and coherent body of knowledge and an understanding of underlying concepts and principles; the ability to access and evaluate scientific information including knowing how scientific knowledge is created; a high level of cognitive and other generic skills including problem-solving, written and spoken communication and computer literacy; and competence in applying knowledge through basic research methods and practice.

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