Senior Researcher, Quantum Finance Engineering

Ph.D. in Physics, Applied Mathematics, Computer Science, Quantitative Finance, or a related field 5+ years of experience in quantitative research, algorithm design, or computational finance At least 5 years in a leadership role Excellent knowledge and skills in quantum computing, error correction, circuit compilation, HPC, and quantum software engineering Excellent knowledge and skills in quantum for AI/ML Demonstrated expertise in quantum algorithms, optimization, or machine learning Familiarity with quantum programming frameworks (e.g., Qiskit, Cirq, IonQ SDK, Pennylane) Deep understanding of financial modeling, including stochastic calculus, numerical methods, and high-performance computing Proven record of publishing or deploying innovative solutions in finance, operations research, or applied quantum computing Exceptional communication skills, capable of engaging both technical and executive-level audiences

Contribute to research and development initiatives in quantum algorithms for finance Be an expert and project manager in quantum information theory, HPC, circuit compilation, error correction, and quantum software engineering Translate financial problem statements into quantum algorithmic frameworks for NISQ and future architectures Collaborate with Quantum Solutions and Partnerships teams to define and execute industry pilots Publish and present groundbreaking results at top-tier academic and industry venues Partner with business and product teams to translate research outcomes into deployable commercial offerings Represent IonQ in external collaborations Travel 10%-20% of the time