Assistant Director, Library Scientist - New York - 23377BR

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

The Data Solutions division is the commercial data business of Moody’s Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.

Job Description

We are combining industry leading news sources with cutting edge Artificial Intelligence (AI), Machine Learning (ML) and Natural language Processing (NLP) techniques, built on a near-real time platform. Your work will help maintain relationships between named entities and their identifiers, help uncover additional entity relationships and signals and improve overall content enrichment. This will allow customers unparalleled insight into the mission critical data needed to run their businesses.

Your job, as Assistant Director-Library Science is to use your expertise and experience to lead and implement initiatives in entity maintenance, signal discovery and refinement, tagging improvements problems via supervised and unsupervised learning, classification, knowledge graphs, relation and event extraction, taxonomies/ontologies, text analytics, and information retrieval. You will work closely with the Data Science and engineering team to leverage their findings and help implement in our products. We are looking for a team player that can help foster the next generation of news and knowledge products. The ideal candidate will be able to quickly grasp problems and craft realistic solutions in a collaborative manner. In addition to building future products, you will gain working knowledge of existing products and technologies of the business unit.

Key Responsibilities and Objectives
The Library Scientist will:

  • Manage all entity maintenance, discovery and relationships. This will include researching public and private organizations, IPOs, de-listings and mergers. In addition, you will work with the Data Science team to help develop and refine machine learning models to improve Named Entity Recognition.

  • Manage relationship with offshore resources on special projects related to content enrichment. Manage daily workflow, throughput and quality standards.

  • Perform editorial duties working in our news aggregation platform including developing searches and search strategies, designing and distributing newsletters for customers and performing ad-hoc QA news queries.

  • Manage proprietary, publisher, third party and industry standard taxonomies. Maintain mappings, extend where necessary and perform continuous QA on results.

  • Help build and maintain complex tagging and categorization models. This will entail working with complex Boolean syntaxes, mapping metadata and exploring natural language topic models. Perform cyclical and on-demand QA work to ensure high levels of tagging accuracy.

  • Help develop and enhance event detection and tagging models.

  • Work in close collaboration with the Data Science team to assist with building pipelines and feedback loops based on business needs and changing domains.

  • Create and update departmental documentation, user guides and presentations for external distribution and in team workspace.

  • Assist in non-English language translations projects and help set performance and accuracy benchmarks.

  • Provide input to continuously improve our processes and practices.

  • Play a primary role in training sessions and knowledge sharing across the teams.

  • You will need to set high-performance goals for yourself, assume responsibility and accountability, and self-impose standards of excellence in a structured environment with your manager.

Qualifications

  • Bachelor’s degree in Library Science, English, Business or related fields. MLS a plus but not required.

  • 3+ years of experience working with entity management, automated classification or content enrichment.

  • Familiar with core concepts of AI/ML. Must be able to communicate and interact with these at the conceptual level.

  • Experience constructing complex searches, modifying results and presenting results.

  • Quickly learn new technologies and processes. And be motivated to share this knowledge with others.

  • Demonstrated ability in advanced Boolean logic.

  • Works well in a fast-paced team environment; able to work under pressure to meet tight deadlines.

  • Background in the news or finance industries a plus.

  • Experience with ontology and taxonomy management systems.

  • Strong proficiency in Excel, SQL, Jira, and/or Project Management software.

  • Strong written and verbal communication skills are vital.

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.

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.