Job Title: Chief Scientist – Financial Systems Impact Xcelerator Lab (IX Lab)
Location: IE University
Department: School of Science and Technology
Start Date: 1 September 2025
Position Overview: IE University's School of Science and Technology is seeking a visionary and seasoned expert to serve as the Chief Scientist for the Financial Systems Impact Xcelerator Lab (IX Lab). This senior role is ideal for a candidate with deep expertise in both traditional financial systems and emerging innovations such as decentralized finance (DeFi), blockchain, quantitative finance, and artificial intelligence (AI).
The Chief Scientist will lead initiatives that bridge the gap between financial theory and technological disruption, driving impactful projects with partners in the financial sector and fintech industry. The ideal candidate will have a strong background in financial mathematics, quantitative modelling, and risk management, combined with an understanding of how blockchain technologies, AI-driven algorithms, and decentralized finance are transforming the global financial landscape.
This role requires strategic leadership, a deep understanding of financial markets, and a clear vision for how emerging technologies can address systemic risks, improve financial efficiency, and unlock new opportunities for businesses, governments, and financial institutions.
Key Responsibilities: Lead the Financial Systems IX Lab, shaping the vision and strategic direction with a focus on financial innovation, quantitative finance, and the integration of emerging technologies such as AI, blockchain, and decentralized finance. Design and oversee education programs and executive training focused on the current and evolving needs of the financial sector, covering topics like quantitative finance, risk management, financial regulation, blockchain ecosystems, and smart contracts. Build partnerships with financial institutions, regulatory bodies, fintech companies, and technology providers to drive knowledge transfer projects that promote the adoption of new technologies and innovative solutions in finance. Direct research initiatives that explore the application of AI, machine learning, blockchain, and distributed ledger technologies (DLT) to improve financial efficiency, security, regulation, and risk management. Lead interdisciplinary teams of academic experts and industry professionals to deliver cutting-edge solutions in areas such as decentralized finance, algorithmic trading, automated risk management, and blockchain-driven financial systems.
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