Summer Internship 2023– Quantum Computing Engineer

Moody’s Analytics Quantum Computing group is a recently crafted team that explores, researches, and implements quantum computing and communications solutions across the different interpersonal units of the company.

In this 10-week Summer Internship program, this group's objective is to evaluate how quantum computing can redefine our industry and Moody’s products in the market, evaluate the industry maturity, establish partnerships, and position Moody’s as a referent in the quantum computing sector for finance. We build proofs of concept and final applications that are embedded in the current classical products. Leverages our innovative financial models and our extensive datasets across the company and liaises with the different stakeholders for its productization. In this role, you will be hands-on and you will evaluate current literature, participate in the research community, and develop solutions in partnership with domain experts across the company.

You are encouraged to have an extreme level of autonomy and capacity to learn new skills and domains, including the ability to learn advanced scientific and technical concepts quickly. You are very passionate about quantum computing and its implications.

Strong technical skills and a demonstrated ability to learn new concepts are significant for this position. Experience in both quantum computing and software development is essential.

Your Role will:

• Support 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. Support the quantum innovation portfolio and pipeline, understanding the internal and external customers and business needs in order to recommend solutions where a quantum + machine learning approach may be optimal.
• Contribute to Moody’s IP by developing innovative solutions and use cases in collaboration with our partners and clients.
• Write white papers with the team, participating with the external academic and business community.

Experience in any of these areas is valuable:

• BSc in Computer Science, Engineering, Physics, Math, or a related field.
• MSc, Ph.D. in Computer Science, Engineering, Physics, Math, Operational Research, Computational Finance, or related field preferred but not required. Performing statistical analysis and numerical methods
• Stochastic modeling
• Partial differential equations discrete and non-convex optimization crafting examples, prototypes, demonstrations.
• Scientific research paper writing.
• Have the ability to work in a fast-paced, driven, versatile environment.
• Ready to keep up with a landscape where new data keeps flowing in rapidly, and the world is constantly evolving.
• Ability to work equally well as part of a team and autonomously
• Previous experience with software standard processes, including continuous-integration pipelines, unit testing, code review.
• Experience working with several programming languages (most importantly Python). Experience with cloud computing and data pipelines preferred.
• Experience with Machine Learning / AI algorithms is a plus.
• If you have open-source contributions, or your own code repositories will be a plus.
• Ability to understand and apply mathematical concepts.
• Demonstrated education or training in quantum computing.
• Experience in technical writing in a scientific or technical field
• Self-motivated with a willingness to learn.
• High level of integrity.
• Advanced business and scientific English. The position will be remote, and English is a requirement.