Senior Researcher, Quantum Finance Engineering

About IonQ:

IonQ, Inc. [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.

Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.

IonQ is seeking a Senior Researcher, Engineering of Quantum Computing for Financial Applications and Algorithms to co-lead the design, development, and implementation of quantum solutions that address high-value use cases in the financial sector. The ideal candidate will bridge deep domain expertise in financial mathematics, quantitative modeling, and optimization with quantum algorithm design and near-term hardware capabilities.

This role is highly strategic and interdisciplinary. You will collaborate with IonQ's hardware, software, and research teams to identify problems where quantum advantage is emerging, engage with global financial institutions to co-develop pilots, and contribute to the evolution of IonQ's algorithmic and application roadmap. The position involves meeting with customers, academic collaborators, and internal teams across IonQ's global ecosystem.

Unlike traditional roles in quantum information theory, this role requires deep expertise not only in quantum computing, but also in the finance industry domain and in AI/ML. The ideal candidate is expected to be not only an expert in quantum computing, but also very knowledgeable in quantitative analysis and in finance use cases such as portfolio optimization, option pricing, risk analysis and fraud detection. Deep knowledge in classical and quantum AI/ML is a plus because AI/ML is now a foundational discipline in finance.

Responsibilities:

• Contribute to the creation of IonQ's research and development initiatives in quantum algorithms for finance, including portfolio optimization, option pricing, risk modeling, fraud detection, and derivative valuation.
• Be an expert and a capable project manager in the following areas: quantum information theory, high performance computing, circuit compilation and optimization, error correction and quantum software engineering, integrating these components to make quantum algorithms and applications for finance run on real quantum hardware today.
• Contribute to the translation of financial problem statements into quantum algorithmic frameworks suited for NISQ (Noisy Intermediate-Scale Quantum) devices and future fault-tolerant architectures.
• Collaborate with IonQ's Quantum Solutions and Partnerships teams to define and execute industry pilots with major banks, hedge funds, and asset managers.
• Publish and present groundbreaking results at top-tier academic and industry venues, helping shape global thought leadership in quantum finance.
• Be an active member of a high-performing interdisciplinary team of quantum scientists, financial engineers, and software developers.
• Partner with IonQ's business and product teams to translate research outcomes into deployable, scalable commercial offerings.
• Represent IonQ in external collaborations with academic institutions, government agencies, and consortia focused on quantum advantage in finance.
• Travel 10%-20% of the time to support customer engagements, research collaborations, and strategic partnership initiatives.

You'd be a good fit with:

• 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, with at least 5 years in a leadership role.
• Excellent knowledge and skills not only in quantum computing, but also in error correction, circuit compilation and optimization, high-performance computing, 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