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Quantum Applications Engineer Intern

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • London

Requirements

  • BSc/MSc in Computer Science, Engineering, Physics, Math, or related field.
  • PhD in Computer Science, Engineering, Physics, Math, or related field preferred but not mandatory.
  • Knowledge of quantum computing algorithms, particularly gate model and hybrid techniques.
  • Previous experience with software best practices, including continuous-integration pipelines, unit testing, code review.
  • Experience working with several programming languages (most importantly Python).
  • Experience with Machine Learning / AI algorithms is preferred but not mandatory.
  • Demonstrated knowledge and experience with Tensor Network numerical simulation methods, with a focus on machine learning and optimization is a plus.
  • Familiarity with Tensor Network libraries and/or relevant functions ( cuTensorNet, TeNPy or others) is a plus
  • If you have open-source contributions or your own code repositories will be a plus.
  • Relevant experience in quantitative risk management is preferred but not mandatory.
  • Experience in technical writing in a scientific or technical field.
  • 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.
  • Be able to keep up with a landscape where new data keeps flowing in rapidly and the world is constantly changing.
  • Ability to work equally well as part of a team and autonomously.
  • Experience in the following topics is a plus:
  • Performing statistical analysis.
  • Predictive modelling.
  • Conceptual modelling.
  • Creating examples, prototypes, demonstrations.

Responsibilities

  • Own and lead the conception and delivery of novel solutions to problems faced by internal project teams.
  • Develop new and 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.
  • 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. Demonstrate thought leadership as it relates to QC, and actively seek ways to build MA’s “data and risk expertise” reputation externally (white papers, speaking panels, etc.). Partner with other ML groups inside the company to find hybrid solutions and benchmarks.

We provide financial intelligence and analytical tools to help business leaders make better, faster decisions.

Finance
Industry
10,001+
Employees
2007
Founded Year

Mission & Purpose

Moody’s is a global integrated risk assessment firm that empowers organisations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 14,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets.