At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.Moody's External Website Posting Website:Employer: Moody's Analytics, Inc.Title: Assc Dir- Analytics & ModelingLocation: 7 World Trade Center, 250 Greenwich Street, New York, NY 10007 (Principal place of business - telecommuting permitted)Duties: Conduct theoretical and empirical research to measure credit risk, portfolio valuation, balance sheet management, and enterprise risk management that will be implemented in our prototypes and software solutions. Work with empirical researchers and data analysts to turn sophisticated research findings into applicable solutions with a particularly focus on the implementation and deployment of software for the purpose of regulatory reporting and credit risk analysis. Assist with collection, cleansing, analysis, and statistical modeling of research data. Build and validate models for use with risk measurement calculations. Assist clients in implementation of relevant solutions using knowledge of internal portfolio and valuation framework. Provide support to sales teams and work closely with product management, software development and other internal teams. Develop and deliver high-quality presentations to clients and internal stakeholders. Implement and test research ideas through prototype and partner with product management and engineering teams to deploy completed research software solutions. Present research findings to audiences internally and externally. Interpret risk metrics, create presentations and reports on analytic findings, hold discussions with internal stakeholder and clients support, and maintain stress testing, impairment methodologies, and related software implementations. Implement, test, and maintain methodologies and code for the purpose of structured asset portfolio risk assessment. Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).Requirements: Requires a Master's degree or foreign equivalent in Financial Engineering, Finance, Financial Economics, or a closely related quantitative field and six (6) months of experience as a Research Analyst or in a related position performing econometric and statistical modeling. Must have experience with the following: performing financial modeling and data mining; using machine learning algorithms with large scale financial data and geospatial data in cloud environments to identify and analyze market patterns and trends; applying knowledge of financial markets; conducting large scale data analysis within financial risk management; working with Python, R, and SQL; working with scientific Python stack (NumPy, Pandas, Polars, or related) and advanced AI and machine learning libraries (Scikit-Learn, Tensorflow, Pytorch, LangChain, OpenAI-Python, or related); and working with collaboration tools such as Jira, Confluence, and Git. Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).For US-based roles only: the
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