John Galt Finance
Current financial analysis and investment modelling work covering integrated models, funding structures, scenario analysis, and management and investment reporting.
Finance Analyst · Riga, Latvia
Finance · Mathematics · Data Science · Building Systems
Finance Analyst studying two Master’s programmes at the University of Latvia, working with quantitative data and building reusable systems, automation and AI-assisted workflows.
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Current directions
Financial analysis and modelling remain the practical foundation. Two active Master’s programmes strengthen the mathematical, statistical and computational work. Quantitative research remains active, while reusable systems, automation and AI-assisted workflows support projects including IVBUL GAMES.
Experience
My experience includes financial analysis, building an independent football analytics project and refereeing volleyball matches.
Current financial analysis and investment modelling work covering integrated models, funding structures, scenario analysis, and management and investment reporting.
I have been an active indoor and beach volleyball referee since 2018.
I worked on Fatum as a co-founder and data analyst, organising football data, reviewing live signals and checking what happened after each signal.
Projects
Current work includes a reusable game-production system and financial modelling, alongside experiments and longer-term research ideas.
A reusable production system for IVBUL GAMES combining shared components, repeatable workflows, automated checks, AI-assisted work and human review.
An ongoing portfolio of financial and investment modelling work covering cash flows, return analysis, scenarios, model restructuring, and decision-support outputs.
An early idea for displaying financial time-series data in three dimensions using the geometry of a golden spiral.
An idea for a system that would analyse news, estimate its possible market impact and create trading signals with risk controls.
An idea for a tool that would compare investment ideas, business models and market structures to find areas with less direct competition.
My long-term research into how small economic units combine into larger structures and how those structures change over time.
Education
I am studying two Master’s programmes in parallel, extending a completed finance degree into data science and financial economics.
View education →Bachelor thesis
I analysed three UCITS ETFs using SMA, EMA and WMA, then prepared three forecast scenarios for 2026.
View the thesisContact