Nigel Musiza
About Nigel Musiza
Nigel Musiza is a Solution Architect in Asset & Wealth Management Consulting at Alpha FMC, where he specializes in data engineering and data science, particularly in machine learning. He has a background in Economics and Mathematics from the University of Bath and has held various roles in data application development and analysis across multiple companies.
Current Role at Alpha FMC
Nigel Musiza currently serves as a Solution Architect within the Asset & Wealth Management Consulting division at Alpha FMC. He has held this position since 2022, contributing to the design and implementation of data applications that leverage cloud technologies. His work focuses on enhancing data engineering and data science capabilities, particularly in the area of machine learning.
Previous Experience at Alpha FMC
Prior to his current role, Nigel Musiza worked at Alpha FMC as a Developer in Asset & Wealth Management Consulting from 2020 to 2022. He also held the position of Consultant Developer for a brief period in 2022. During his tenure, he gained experience in developing solutions tailored to the asset and wealth management sector.
Professional Background at Siemens PLM Software
Nigel Musiza's professional background includes significant experience at Siemens PLM Software. He worked as a Global Portfolio Development Support Intern from 2018 to 2019, followed by a role as a Global Portfolio Development Data Analyst & BI Developer from 2019 to 2020. These positions provided him with foundational skills in data analysis and business intelligence.
Educational Background
Nigel Musiza studied at the University of Bath, where he earned a Bachelor of Science in Economics and Mathematics from 2016 to 2020. This academic background equipped him with analytical skills and a strong understanding of quantitative methods, which he applies in his current and previous roles.
Expertise in Data Technologies
Nigel Musiza possesses expertise in designing and building data applications using various cloud technologies, including AWS, Azure, and Salesforce. He is proficient in programming languages such as Python and SQL, which he utilizes for data-related projects. Additionally, he is involved in discussions surrounding the application of large language models in the financial sector and has contributed to a whitepaper on ChatGPT for asset managers.