Ph.D. in Physics, Applied Mathematics, Computer Science, Quantitative Finance, or related field. 8+ years of experience in algorithmic research, computational finance, or quantum information. At least 3 years in a leadership or principal investigator role. Deep technical expertise in quantum computing, error correction, compiler optimization, and high-performance computing. Proven experience in quantum AI/ML and its applications in finance. Advanced understanding of financial modeling, stochastic calculus, risk analytics, and optimization techniques. Demonstrated record of publishing, patenting, or deploying cutting-edge quantum or hybrid classical-quantum solutions. Strong track record of leading cross-disciplinary teams. Excellent communication and collaboration skills.