DIR - Software Architecture - New York - 18268BR

Moody's is an essential component of the global capital markets, providing credit ratings, research, tools and analysis that contribute to transparent and integrated financial markets. Moody's Corporation (NYSE: MCO) is the parent company of Moody's Investors Service, which provides credit ratings and research covering debt instruments and securities, and Moody's Analytics, which offers leading-edge software, advisory services and research for credit and economic analysis and financial risk management. The Corporation, which reported revenue of $4.4 billion in 2018, employs approximately 13,100 people worldwide and maintains a presence in 42 countries. Further information is available at www.moodys.com.
Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.


Machine Learning – AI Team / Moody's Analytics Accelerator

Job Description

As a Machine Learning / NLP - Research Scientist / Engineer in the Machine Learning team, you will drive algorithmic improvements in Moody's Analytic’s core machine learning and AI-driven products, that have a transformative impact across multiple MA units by enabling new automation capabilities, and improving efficiency and performance across multiple business lines. You’ll leverage your expertise and experience to propose and lead initiatives in problems like supervised and unsupervised learning, classification, predictive modeling, risk modeling , sentiment analysis, relation extraction, text summarization, entity recognition, information retrieval, and natural language generation as well as designs for the next iterations of our product lines, using ML, deep learning, and NLP.
The Machine Learning / NLP- Research Scientist will be a core member of the Machine Learning team within the Moody's Analytics Accelerator (formerly known as the Emerging Business Unit ). The ML team is a highly visible team working across multiple business lines that is key to the Moody’s Analytics’ (MA) long-term growth strategy using AI and ML.


  • Do research on emerging machine learning, deep learning and NLP solutions applied to natural language (text) and unstructured data and be conversant with the latest developments in these fields.
  • Enable new capabilities in document understanding and knowledge extraction from text using state-of-art deep learning techniques and frameworks.
  • Deliver custom, highly scalable deep learning, and NLP solutions through prototyping, POC, and quantitative metrics.
  • Propose and develop new systems for evaluating model accuracy and building better-annotated training corpora by developing data collection and annotation processes.
  • Discuss, suggest, and brainstorm new advanced technology solutions with team members.
  • Explain complex models to non-experts, in layperson terminology to clients, stakeholders, and managers, while also being able to discuss intricacies of complex algorithms with experts in the field.
  • Prepare reports, presentations, for internal and external stakeholders, and as applicable, publish in conferences and peer-reviewed journals.


  • Ph.D. or MS in computer science, statistics, machine learning, or other quantitative fields.
  • 5+ years of applied R&D experience (as a PhD student, or post-doc) or professional experience (research staff in a university or industry) developing and deploying data and algorithm-driven software products.
  • Strong programming skills (8+ years of programming experience) in Python, Java, R, or Scala.
  • In-depth knowledge of NLP and machine learning libraries such as SpaCy, NLTK, Stanford NLP, Numpy, and Scikit-learn.
  • Experience with specialized NLP tasks such as sentiment analysis, relation extraction, summarization, entity recognition, document classification, and knowledge base generation.
  • Publications in top-tier venues in the field of Machine Learning, Deep Learning, NLP or Computational Linguistics.
  • Hands-on working experience with deep learning and Big Data frameworks such as TensorFlow, Keras, PyTorch, Caffe, Fast.ai, MXNet, Spark, or Hadoop.
  • Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com.. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.

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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.