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Arnold Dumas is an experienced professional in algorithmic trading and quantitative analysis, currently serving as an Augmented Trading Professional at enspired, where responsibilities include researching and implementing automated trading strategies in the European short-term power market and engaging with clients regarding their assets and performance. Previous roles encompass positions as an Algorithmic Trading Associate at WUTIS, a Quantitative Credit Risk Analyst at Raiffeisen Bank International AG, and various software development roles at Radar Cyber Security. Arnold Dumas has a solid educational background with degrees in Computer Sciences and Mathematics, Information Security, and Quantitative Asset and Risk Management from esteemed institutions, supplemented by summer schools focused on energy markets and fixed income derivatives.