Arnaud Jezequel is an Artificial Intelligence Consultant with a decade of experience blending finance, risk management and software engineering to deliver high-performance AI and trading systems. He has led large transformation programs at Société Générale, redesigning equity and derivatives IT for real-time exposure, P&L and risk reporting on multi-million euro budgets while managing cross-functional teams. At Flowful AI he now builds scalable AI agents, RAG/MCP infrastructures and voice assistants, coupling Python/JS development with DevOps practices to automate decision workflows and accelerate dossier creation. His background in derivatives, FRTB and fund analysis gives him a rare ability to translate complex financial regulation and product nuances into production-ready technical solutions. Comfortable across C#/Java, SQL, React/TypeScript and DevOps tooling, he combines hands-on coding with program-level delivery and a penchant for pragmatic, lean-driven change. An early webmaster and multilingual business-school alumnus, he retains a hacker mindset that fuels both quick prototyping and long-term system robustness.
9 years of coding experience
14 years of employment as a software developer
Master of Science, Management, Financial Markets, Master of Science, Management, Financial Markets at KEDGE Business School
DUETI, Finance, DUETI, Finance at Université Claude Bernard (Lyon I)
Bachelor of Arts, International Business, Bachelor of Arts, International Business at Leeds Metropolitan University
Small library that help you merge object respecting typescript class decorators if any
Contributions:5 releases, 5 PRs, 22 pushes in 1 year 1 month
merge-objectdecoratorsjavascriptmergermerge
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