Director - Machine Learning

Company: Moody's Investors Service
Location: New York, New York, United States
Type: Full-time
Posted: 31.JUL.2021

Summary

Moody's Analytics - Predictive Analytics OU (EAAS OU) Engineering & Technology - Software Engineering Regular - Experienced Hire Moody's ...

Description

Moody's Analytics - Predictive Analytics OU (EAAS OU)

Engineering & Technology - Software Engineering

Regular - Experienced Hire

Moody's (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations 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 11,000 employees in more than 40 countries, Moody's combines international presence with local expertise and over a century of experience in financial markets. Learn more at 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.

Department Moody's Analytics

Job Description As an Artificial Intelligence (AI) / Machine Learning - Research Scientist / Engineer in the AI - Machine Learning team, you will implement and lead improvements in Moody's Analytics core machine learning and AI-driven products, that have a transformative impact across multiple MA units by enabling new products, 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, NLP (natural language processing) and text analytics, information retrieval, cognitive search, knowledge graphs, relation extraction, recommendation systems, predictive modeling, forecasting, time-series analysis, and risk modeling for the next generation of our product lines, using AI, ML, deep learning.

The AI / Machine Learning Research Scientist will be a core member of the AI-Machine Learning team within Moody's Analytics. The AI-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.

Responsibilities

  • Do research on emerging AI, machine learning, deep learning solutions applied to structured and unstructured data and be conversant with the latest developments in these fields. Areas of interest include:
    • Design and develop novel ML solutions for NLP, text analytics, information retrieval, cognitive search, and recommendation systems
    • Enable new capabilities in knowledge graphs, graph analytics using state-of-art deep learning techniques and frameworks. and customize graph data stores using open-source / commercial graph databases
    • Design and develop predictive analytics solutions using AI and deep learning on structured data (time series and other structured data types)
  • Deliver custom, highly scalable AI, deep learning, 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.

Qualifications
  • Ph.D. or MS in Computer Science, Statistics, Mathematics, Economics, or other quantitative fields, with focus on Machine Learning , AI , NLP , deep learning, and/or / data-driven statistical analysis & modelling
  • 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-driven and algorithm-driven models and software products.
  • Strong programming skills (5+ years of programming experience) in Python, Java, C/C++, R, or Scala.
  • In-depth knowledge of AI and machine learning libraries such as TensorFlow, PyTorch, Keras, Numpy, and Scikit-learn, and/or open-source/commercial graph databases
  • Experience in some of the following AI, ML areas:
    • NLP and machine-learning-based algorithms, solutions for natural language understanding, entity recognition, document understanding, co-ref resolution, relation extraction, as well as with the creation and evaluation of annotated training corpora.
    • Information retrieval, recommendation systems
    • knowledge graph and AI-ML graph analytics, and graph databases
    • deep learning solutions for structured data and time series data
    • reinforcement learning
    • deep learning for unstructured data including computer vision, speech processing
  • Publications in top-tier venues in the field of Machine Learning, Deep Learning.
  • Hands-on working experience with deep learning and Big Data frameworks such as TensorFlow, Keras, PyTorch, Caffe, Fast.ai, MXNet, Spark, or Hadoop, and open-source/commercial graph databases.
  • Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks.
  • Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team
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 . 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.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

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.

 
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