Quantum Computing Research Scientist - Quantum Algorithms - Vice President

JPMorgan Chase - New York, NY

Full-time - Senior

New York, NY

Credit Intermediation and Related Activities

About the position

The Quantum Computing Research Scientist - Vice President role at JPMorgan Chase & Co. involves advancing the field of quantum algorithms with applications in optimization, stochastic modeling, numerical analysis, machine learning, and financial use cases. The position is part of the Global Technology Applied Research (GTAR) center, where the goal is to conduct research across frontier technologies to develop innovative solutions for the firm's clients and businesses. The role includes collaboration with other researchers, rigorous benchmarking of algorithms, and contributing to intellectual property.

Responsibilities

• Advance the field of quantum algorithms and their applications to optimization, stochastic modelling, numerical analysis, machine learning and financial use cases
• Provide novel research solutions to problems faced by internal project teams
• Collaborate with quantum algorithms researchers to investigate the potential for implementing your work on hardware
• Work with other researchers to document your findings in scientific papers and present them at conferences
• Contribute to JPMC's IP by pursuing necessary protections of generated IP

Requirements

• Ph.D. degree in computer science, physics, math, engineering or related fields, plus at least 2 years of experience (industry or postdoc)
• Demonstrated research ability in quantum computing or related fields
• Experience in scientific technical writing
• Strong communication skills and the ability to present findings to a non-technical audience
• Experience in one or more following domains: Quantum algorithms for optimization (e.g., QAOA, quantum adiabatic algorithm, quantum walks), Quantum algorithms for machine learning (e.g., quantum algorithms for linear systems, PCA, classification), Quantum linear algebra (e.g., LCU, QSVT), Compilation of quantum algorithms to fault-tolerant architectures, Simulation of quantum algorithms (e.g., MPS, PEPS, tensor networks), High-performance computing (e.g., MPI, experience running computational tasks on 100+ nodes)

Nice-to-haves

• Preference is given to candidates with strong publication record
• Familiarity/Experience with quantum information, quantum complexity theory, and/or quantum error correction is desirable
• Experience in finance is a plus, though no prior familiarity with financial use cases is required