Quantum Computing Research Engineer

4 weeks ago

London, Greater London, United Kingdom Moody's Full time

Job Summary

Moody's Analytics is seeking a highly skilled Quantum Computing Research Engineer to join our team. As a key member of our Quantum Computing team, you will be responsible for evaluating how quantum computing can disrupt our industry and Moody's products in the market, establishing partnerships, and positioning Moody's as a referent in the quantum computing sector for finance.

Key Responsibilities

• Own and lead the conception and delivery of novel solutions to problems faced by internal project teams.

• Develop new and continually improve existing Quantum Algorithms for specific applications, in the team and in collaboration with external partners.

• Provide guidance to other groups throughout Moody's Analytics on best practices and advanced techniques.

• Contribute to Moody's IP by developing innovative solutions and use cases in collaboration with our partners and clients.

• Write white papers and build and maintain relationships with the external academic community and business community.

• Consistently scan the market / competitors / partners / research, lead client engagements to understand challenges that they are trying to address, and meet with external partners to bring new ideas and technologies to Moody's Analytics.

• Represent the company as a technical expert on quantum computing and present research findings to audiences internally and externally.

Requirements

• BSc in Computer Science, Engineering, Physics, Math, or related field.

• MSc, PhD in Computer Science, Engineering, Physics, Math, or related field.

• Advanced knowledge of Python, scientific computing tools, and cloud computing are required.

• Previous experience with software best practices, including continuous-integration pipelines, unit testing, code review.

• Working knowledge of quantum computing algorithms and applications.

• Experience with Machine Learning / AI algorithms.

• Demonstrated knowledge and experience with Tensor Network based numerical simulation methods is a plus, with a focus on ML, optimization, function approximation, and dimensionality reduction.

• Familiarity with Tensor Network libraries and/or relevant functions (ITensor, cuTensorNet, TeNPy, tntorch, scikit-tt or other toolboxes) is a plus.

• No prior familiarity with financial use cases required. Experience with financial asset allocation, predictive analytics with financial time series, and risk modeling is a plus.

• If you have open-source contributions or your own code repositories, it will be a plus.

• Experience in technical writing in a scientific or technical field. Demonstrated research ability.

• Self-motivated with a willingness to learn.

• Must be results-oriented and have a proven ability to get things done through people, including those not under direct management.

• High level of professionalism.

Equal Opportunity Employer

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity, or any other characteristic protected by law.

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