Job Description

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.Employer: Moody's Investors Service, Inc.Title: AVP-Data ScientistLocation: 7 World Trade Center, 250 Greenwich Street, New York, NY 10007Duties: Develop machine learning solutions for high-profile data science initiatives. Design and train predictive analytics models and create high-value-added data solutions by converting quantitative predictions into actionable insights. Select and train machine learning models for predictive analytics, with relatively small and unbalanced datasets. Build solutions predicting activities and extracting signals from multiple data sources. Design explainability tools understandable by non-data scientists. Collaborate with technology teams to create data ingestion pipelines connected to sources across the organization and deliver in varying formats. Support teams in developing MLOps solutions and input models in production. Support teams in the management of cloud resources. Communicate results to business stakeholders and decision-makers. Work closely with technology teams, rating and research teams, and other departments. Collaborate with subject matter experts from ratings and research teams to incorporate fundamental expertise into machine learning models. Mentor team members without data science backgrounds, as required, and foster a culture of knowledge sharing and learning. Participate and present at internal and external events.Requirements: Requires a Master's degree or foreign equivalent in Computer Science, Data Science, Statistics, or a related quantitative field plus two (2) years of experience as a Data Scientist or in a related position developing machine learning models for business credit risk. Must have full term of experience with following: predicting bond issuances; implementing explainability tools, such as SHAP and Lime; implementing MLOps framework; deploying machine learning applications; detecting performance deterioration after deployment; and using Python, SQL, and AWS Cloud Services.For US-based roles only: the anticipated hiring base salary range for this position is $139,506 to $230,850/yr, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.To apply, please submit resume through careers.moodys.com or via e-mail at hrbox28@moodys.com. Please refer to Job Ref. 10950.For US-based roles only: the anticipated hiring base salary range for this position is $139,506 - $230,850, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addi

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