Thomas Vella

Background

About Thomas Vella

I am a data-driven risk professional with over five years of experience in credit and portfolio risk within a large financial institution. My work centres on analytical problem-solving, quantitative assessment, and disciplined decision-making rather than transactional or deal-driven activity.I bring strong experience in financial and credit analysis, complemented by hands-on use of Python, SQL, and Excel to analyse large datasets, build models, and automate reporting and risk monitoring processes. This quantitative approach underpins my work across portfolio risk and risk appetite frameworks.Academically, I hold undergraduate degrees in Law and Economics and have completed MIT’s Introduction to Computer Science and Programming in Python, reflecting my interest in combining structured reasoning with modern data and analytical techniques.I am particularly drawn to roles that sit at the intersection of data, risk, and finance — including banking, asset and funds management, investment operations, and analytics-focused teams in finance-adjacent or technology-enabled organisations.Known for clarity of thought and communication, I take pride in translating complex analysis into clear, actionable insights for stakeholders across technical and non-technical backgrounds.