Let's begin! Director-Machine Learning Engineer (3036)
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Department
Moody's Analytics Quantum Computing team explores, researches, and implements quantum computing and communications solutions across the different organizational units of the company.
Role/Responsibilities
This group objective is to evaluate how quantum computing can disrupt 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. The team creates proofs of concept and final applications that are embedded in the current classical products. Leverages our state-of-the-art 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 expected to have an elevated level of autonomy, capacity to learn new skills and domains including advanced scientific and technical concepts quickly and with minimal direction, along with demonstrated experience in teaching others. We are looking for a person who is passionate about quantum computing and its implications on the financial industry.
Strong technical skills and a demonstrated ability to learn new concepts is important for this position. Experience in both quantum computing and software development is essential.
Your Role will:
" 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. Lead and manage the quantum innovation portfolio and pipeline, understanding the internal and external customer and business needs in order to recommend solutions where a quantum or quantum inspired approach may be optimal.
" 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. The goal is to transform scientific research into business value.
" 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. 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.
Additional Requirements:
" Performing statistical analysis on financial, climate and other type of data.
" Predictive analytics
" Conceptual modelling
" Creating examples, prototypes, demonstrations
" Have the ability to work in a fast-paced, competitive and multidisciplinary environment
" Be able to keep up with a landscape where new data/algorithms keeps flowing in rapidly and the world is constantly changing
" Ability to work equally well as part of a team and autonomously
Qualifications
" 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. Hybrid classical/quantum algorithms are included.
" 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 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.
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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.