Asst DirData Scientist (Accounting)

13613 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. Skills and Competencies * Strong expertise in financial-statement and accounting concepts, including the ability to translate accounting signals into model features, risk indicators, and analytical insights * Strong theoretical grounding in econometrics, statistics, and quantitative modeling, with demonstrated ability to determine when traditional, machine-learning, or hybrid methods are most appropriate, based on business context, data availability, and interpretability needs * Excellent written and verbal communication skills in English, with demonstrated ability to distill complex modeling concepts into clear, audienceappropriate messages for senior leaders, crossfunctional partners, and nontechnical stakeholders * Strong programming skills in Python or R * Fluency with AI productivity tools * Exposure to cloud platforms such as AWS, GCP, or Azure (preferred) * Experience with production machine learning systems (preferred) * Demonstrated commitment to transparent, wellstructured model documentation and adherence to governance standards (preferred) * Ability to manage the entire modeldevelopment lifecycle-from conceptualization through data exploration, model design, estimation, validation, deployment, user training, and monitoring (preferred)Education * Ph.D. in Economics, Finance, Accounting, or a related quantitative field, or a Master's degree with relevant professional experience in the financial industry * CPA certification(optional)ResponsibilitiesLead the development and implementation of advanced analytical models to drive business insights and support strategic decision-making. * Design, develop, and maintain quantitative models to analyze financial and economic data * Translate complex datasets into actionable insights and recommendations for internal stakeholders * Collaborate with cross-functional teams to identify opportunities for data-driven improvements * Evaluate and implement machine learning techniques and statistical methodologies where appropriate * Communicate analytical findings clearly to both technical and non-technical audiences * Ensure model robustness, accuracy, and compliance with internal standards and best practices * Support the deployment and monitoring of production-level analytical models * Contribute to innovation initiatives by leveraging emerging technologies and AI toolsAbout the TeamThe Analytics & Modeling team is responsible for delivering advanced quantitative solutions that support critical business decisions and enhance analytical capabilities across the organization. The team collaborates closely with stakeholders across functions to translate complex data into meaningful insights and drive innovation through the adoption of modern data science and AI technologies. By joining this team, you will contribute to impactful projects that shape analytical strategy and support continuous improvement in data-