Joshua.

I have experience working on the World Quant Brain platform, where I engage in quantitative research by developing and testing predictive models (alphas) using financial data. My work involves applying statistical analysis, machine learning concepts, and time-series modelling to identify patterns in market data and construct alpha signals for trading strategies.
I use Python, SQL, and the Fast Expression Language (World Quant’s modelling language) to design, backtest, and optimize alphas under different market conditions. This includes feature engineering, signal transformation, and evaluating model performance based on metrics such as Sharpe ratio, turnover, and correlation stability.
Through this experience, I have strengthened my understanding of quantitative finance, stochastic processes, and algorithmic trading systems. I have also developed strong skills in problem-solving, data-driven decision-making, and iterative model improvement.
Overall, my work on World Quant Brain has enhanced my ability to think analytically and build robust quantitative models, aligning well with my interest in machine learning, statistical modelling, and financial data science.

I have experience teaching Engineering Mathematics at the Railway Training Institute (RTI), where I supported learners in developing a strong foundation in mathematical concepts required for engineering applications. My teaching covered key areas such as algebra, calculus, trigonometry, matrices, differential equations, and applied numerical methods relevant to engineering problem-solving.
In my role, I prepared lesson plans, delivered lectures, and facilitated tutorials that emphasized both conceptual understanding and practical application. I used a learner-centred approach, breaking down complex mathematical ideas into simpler, understandable steps while encouraging active participation and problem-solving.
I also incorporated real-world engineering examples to help students connect mathematical theory with practical applications in fields such as telecommunication, mechanical systems, and electrical engineering. In addition, I assessed student progress through assignments, tests, and continuous feedback to ensure mastery of core competencies.
This teaching experience strengthened my communication, instructional design, and classroom management skills. It also deepened my ability to translate abstract mathematical concepts into practical engineering solutions, preparing learners for both academic progression and technical careers in engineering.

I am currently pursuing a Master’s degree in Mathematics for Data and Resource Sciences at TU Bergakademie Freiberg, where I am developing strong analytical and computational skills for solving real-world problems. My academic focus combines advanced mathematics, statistics, and data science, with practical applications in machine learning, optimization, and stochastic modelling. I have experience working with programming tools such as Python, R, and SQL for data analysis and automation. In addition, I am interested in quantitative finance and the development of predictive models using modern computational techniques. Through my studies, I aim to bridge theoretical knowledge with practical implementation, particularly in data-driven environments. I am highly motivated, detail-oriented, and committed to continuous learning, with a strong interest in leveraging data to support decision-making in complex systems and industries.

I hold a Bachelor’s degree in Actuarial Science from Jomo Kenyatta University of Agriculture and Technology, where I developed a strong foundation in mathematics, statistics, and financial risk analysis. The program equipped me with skills in probability theory, statistical modelling, financial mathematics, and actuarial techniques used to assess and manage risk in insurance and finance. I gained practical experience in data analysis using tools such as R and Excel, applying quantitative methods to real-world financial and economic problems. My studies also covered areas such as life contingencies, stochastic processes, and investment analysis, preparing me to evaluate uncertainty and make informed decisions based on data. This academic background has strengthened my analytical thinking, problem-solving abilities, and attention to detail, forming a solid base for advanced studies in data science, quantitative modelling, and risk management.

I hold a qualification in Pedagogy in Mathematics and Applied Statistics from the Kenya School of Technical, Vocational Education and Training, where I developed strong competencies in teaching, curriculum design, and learner-centred instructional methods. The program equipped me with practical skills in planning, delivering, and assessing lessons in mathematics and statistics within a competency-based education and training (CBET) framework. I gained experience in developing schemes of work, lesson plans, and assessment tools aligned with learning outcomes, as well as applying modern teaching strategies to enhance student understanding and engagement. Additionally, I strengthened my ability to integrate technology and real-world applications into teaching, making complex concepts more accessible. This training has enhanced my communication, facilitation, and evaluation skills, enabling me to effectively support diverse learners and promote critical thinking in mathematical and statistical contexts.

My Diploma in Telecommunication Engineering, obtained at the Railway Training Institute (RTI), provided me with a solid foundation in both the theoretical and practical aspects of modern communication systems. The program equipped me with essential knowledge in analogue and digital communication, data transmission, wireless communication, signal processing, computer networking, and telecommunication infrastructure.
At RTI, I benefited from a strong hands-on training approach, which allowed me to work directly with industry-relevant equipment such as routers, switches, fibre optic systems, and wireless communication devices. This practical exposure strengthened my ability to design, install, test, and troubleshoot telecommunication systems used for voice, data, and multimedia services.
In addition, I developed strong analytical and problem-solving skills, particularly in diagnosing network faults and improving system performance. The training also enhanced my understanding of network configuration, maintenance procedures, and communication protocols, preparing me for real-world engineering environments.
Beyond technical skills, the program built my teamwork, technical reporting, and project execution abilities, which are essential in professional engineering practice. Overall, my diploma from RTI prepared me for careers in telecommunications, networking, and ICT, while also providing a strong base for further academic and professional development in engineering and data-driven technologies.