Top Hybrid Analysis Reporting Jobs in New York City, NY

As a Research Scientist focusing on NLP at Kensho, you will develop innovative NLP models, work collaboratively with a team of researchers and engineers, contribute to state-of-the-art research, and publish findings while leveraging advanced technologies for large data sets.

As a Principal Associate, Data Scientist on the Fraud Intelligence team, you will partner with cross-functional teams to build and maintain machine learning models protecting customers from fraud. You'll leverage technologies to analyze large datasets, develop machine learning workflows, and communicate findings to drive business decisions.

The Senior Analyst will support the analytics and research function of the U.S. Structured Credit ratings business, assisting with the development and maintenance of rating methodologies, Python-based rating models, and quantitative research. The role also involves collaboration with other analysts, maintaining documentation, and training team members on structured credit transaction analytics.

As a Senior Data Scientist on the AI Applied Research team, you will lead research in Generative AI and Machine Learning, focusing on applying innovative concepts to product features. You'll collaborate across teams, mentor junior staff, and contribute to academic publications, all while advancing AI capabilities within the Datadog environment.

The Data Analyst will oversee projects to streamline supply chain operations at NBCUniversal. Duties include managing metrics reporting, developing governance processes, and creating presentations for leadership. The analyst will facilitate communication regarding operational improvements and maintain vendor relationships while using data to enhance efficiency.

The LME Legal Analyst at 9fin is responsible for analyzing distressed scenarios in leveraged finance, providing insights on high yield documentation, answering client inquiries, and utilizing proprietary technology to enhance LME databases. The role also involves producing analytical reports, delivering seminars, and representing 9fin in various events.

The AI Model Risk position involves assessing and managing risks associated with AI and machine learning models. Key responsibilities include challenging modeling decisions, reviewing model risks, coordinating with various teams, quantitatively assessing model fairness, and documenting testing results. The role requires collaboration with global stakeholders and exposure to various modeling techniques across the enterprise.