Enock Soko

Actuarial and Data analyst with experience across insurance, finance and academia, specializing in R and background in Python and SQL- predictive modelling. BSc Actuarial Science graduate and BScHons Mathematical Statistics graduate with a track record of presenting complex analysis to senior stakeholders and mentoring over 1000 students.

Assistant: Statistical Programming at University of Free State (2025-01 – Present)

• Assisted with implementing statistical and machine learning models in R, including data preparation, model development, evaluation, and interpretation.
• Provided one-on-one and group academic consultations to over 100 Statistical Programming students under the supervision of Dr Niladri Chakraborty of the Department of Mathematical Statistics and Actuarial Science.
• Marked assessments, recorded student results, and provided constructive feedback to support academic development

Actuarial Modelling CEAP at Claxon Actuaries (2024-01 – 2025-12)

• Researched the application of IFRS17 Measurement Models (GMM, PAA, VFA) for insurance companies.
• Cleaned and validated insurance datasets (removing duplicates, blank entries, and inconsistencies) using Python
• Built actuarial models for life insurance products using Excel and Python
• Mastered Python fundamentals, object-oriented and functional programming, data analysis with Pandas, and introductory machine learning with Scikit-learn.

Junior Actuarial Analyst at Actuaries In the Making (AIM) (2024-01 – 2024-12)

• Developed and implemented investment portfolio models to meet client goals under return and variance constraints.
• Cleaned and analysed equity data using statistical techniques (mean, variance, skewness, kurtosis) to test normality.
• Hypothesis testing: designing hypothesis, documenting control and testing
• Built a portfolio optimisation model to determine optimal asset weights under different correlation assumptions, ensuring alignment with client objectives.
• Produced a professional report summarising methodology, assumptions, key findings, and recommendations for improved modelling approaches.

Junior Actuarial Analyst at Actuaries In the Making (AIM) (2023-01 – 2023-12)

• Analyzed member movement and benefit options for a restricted medical scheme, focusing on pricing, valuation, and risk assessment.
• Used Excel to cleaned and validated insurance datasets (removing duplicates, blank entries, outliers and etc.)
• Evaluated cost implications of potential new contraceptive benefits to provide strategic actuarial insights.
• Collaborated with the team on detailed reports and recommendations presented to senior leadership.

Data Science Intern at South African Graduate Employer Association (2022-01 – 2022-12)

• Analysed the impact of payment holidays on bank stakeholders, balancing short-term relief for clients with long-term financial implications.
• Optimised the approval process for payment holiday applications by developing recommendations for automation and improved efficiency.
• Cleaned and validated financial datasets (removing duplicates, blank entries, and inconsistencies) and conducted logistic regression to assess risk factors.
• Delivered findings through a professional presentation to highlight risks and efficiency improvements.

Calculus and Mathematical Statistics Tutor at University of Johannesburg (2020-01 – 2022-12)

• Delivered tutorials and one-on-one academic consultations for first-year Calculus, Mathematical Statistics and second year Mathematical Statistics under Dr Andrew Craig and Dr Van Appel.
• Assessed assignments, tests, and assisted with practical course using Microsoft Excel and R for statistical analysis.
• Assisted with examination administration, including invigilation and script marking.

Bachelor of Science Honours in Mathematical Statistics – University of Free State

Bachelor of Science in Actuarial Science – University of Johannesburg