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.
Key Responsibilities:
* 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.
Ideal Candidate:
* 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.
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