Chief Scientific Officer

My client, a stealth-modequantum fintech venture, backed by a leading global financial institution, is on a mission to transform the future of quantitative analytics. By combining breakthroughs inquantum computing, AI, and machine learningwith deep financial domain expertise, we are building next-generation applications that will redefine performance in financial services.

AsChief Scientific Officer (CSO), you will spearhead our scientific strategy, leading advanced research and innovation while ensuring that cutting-edge discoveries translate into commercial impact.

• Lead end-to-end research, design, and implementation ofquantum, quantum-inspired, and advanced machine learning algorithmsto power high-performance financial applications.
• Conduct deep research into bothclassical and quantum computing approaches, identifying opportunities for disruptive improvements.
• Provide strategic direction to guide the company'sresearch agenda in quantum technologies, AI, and quantitative finance.
• Collaborate with the CTO to integrate algorithmic advances into the platform and applications.
• Stay at the forefront of developments ingate-based quantum computing, adiabatic quantum computing, variational algorithms, QUBOs, tensor networks, quantum machine learning, quantum simulations, Fourier transforms, simulated annealing, and other optimisation techniques.
• Tune and optimise applications to ensure peak performance across a variety ofquantum hardware back-ends and middleware environments.
• Design and developproof-of-concept prototypesthat showcase algorithmic and hardware-driven advances.
• Publish selected research and thought leadership, while protecting IP through patents and legal frameworks.
• Evaluate emerging technologies and strategic partners in thequantum technology ecosystem(hardware providers, middleware, and software platforms).
• Ensure strategic alignment with commercial priorities while fostering collaboration across teams and with other C-level executives.

• 10+ years in cutting-edge research acrosscomputer science, quantum computing, and applied machine learning, with at least 2+ years in a professional or commercial research setting.
• Deep expertise inquantum algorithms and applications, including bothgate-based and adiabatic approaches.
• Broad knowledge of algorithmic methods: supervised/unsupervised machine learning, neural networks, transformers, tensor networks, evolutionary algorithms, PDEs, Monte Carlo simulations, discrete/continuous optimisation, and beyond.
• Strong track record of publications in high-impact journals and experience leading research-to-commercialisation initiatives.
• Financial services exposure (e.g., trading, fraud detection, risk management) is highly valuable.
• Entrepreneurial mindset with the ability to balanceacademic innovation and commercial applicationin a fast-paced fintech environment.
• Proven leadership skills and the ability to communicate complex concepts to both technical and non-technical stakeholders.