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Skills and Competencies 15+ years of experience in tax accounting and strategy with large, multi-national organizations, including at least 10 years in leadership roles supporting executive teams Expertise in ASC 740, including application to complex tax, accounting, and financial transactions, as well as understanding of ASC 740-related SEC disclosure requirements (e.g., ASU 2023-09) • Proven ability to compute and analyze global tax provisions, assess reserves for uncertain tax positions, and forecast global tax impacts within complex multi-national structures Extensive experience with tax planning, optimization strategies under OECD Pillar II, intercompany agreements, transfer pricing, and M&A tax implications, including risk analysis and structuring recommendations • Strong knowledge of global tax compliance, including corporate income tax, VAT/indirect tax, withholding taxes, and monitoring/implementing new legislative changes Demonstrated ability to enhance SOX controls, identify and mitigate financial/operational risks, and maximize U.S. federal and state tax filing positions while minimizing audit exposure Strategic thinker with excellent communication, interpersonal, and presentation skills, capable of engaging C-suite executives and translating complex tax concepts into actionable insights • Proven leadership in building high-performing teams and fostering innovation through technology, with a foundational understanding of artificial intelligence concepts and a strong curiosity for learning how emerging tools like AI can be responsibly integrated to drive efficiency, improve processes, and manage risks Education Bachelor’s degree in Accounting or Finance CPA certification required Masters in Taxation or MBA degree preferred Responsibilities Moody’s seeks a Senior Vice President for Global Tax to lead tax strategy, U.S.

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, audience ‑ appropriate messages for senior leaders, cross ‑ functional partners, and non ‑ technical 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, well‑ structured model documentation and adherence to governance standards (preferred) Ability to manage the entire model‑ development 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) Responsibilities • Lead 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 tools About the Team The Analytics & Modeling team is responsible for delivering advanced quantitative solutions that support critical business decisions and enhance analytical capabilities across the organization.

Working closely with the Director of GenAI Products, this role helps translate strategic direction into effective squad execution – ensuring teams are well-led, roadmaps are grounded in client and market insight, and delivery runs smoothly across the portfolio. • Lead, mentor, and coach a team of Product Managers to ensure strong execution and professional growth Set and maintain a high quality bar for product management outputs, including user stories and requirements documentation • Partner with the Director of GenAI Products to contribute to and execute the GenAI product roadmap Engage with strategy, business partners, and clients to validate priorities and surface new product opportunities Serve as the primary escalation point for Product Managers, resolving blockers and managing cross-squad dependencies • Establish a consistent operating rhythm across squads, including planning, prioritization, and retrospectives • Define, track, and use product KPIs to guide prioritization and continuous improvement • Drive cross-functional collaboration across technology, design, operations, and strategy teams About the Team The Digital Content & Innovation product organization at Moody’s Analytics delivers client-focused digital solutions that enable customers to assess risk and make informed decisions.

Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor’s degree in Business, Information Systems, Engineering, or a related field, or equivalent experience MBA or advanced degree in a related field preferred Relevant Salesforce certifications such as Administrator, Sales Cloud Consultant, or Platform App Builder preferred Responsibilities • Lead the end-to-end design, delivery, and operation of the Quote-to-Cash platform to enable scalable, efficient, and user-centered revenue processes • Lead, mentor, and develop a team of Business Analysts and platform professionals, establishing priorities and operating rhythms that support consistent delivery Own the Quote-to-Cash roadmap and delivery lifecycle from discovery through production release, ensuring alignment with business strategy and measurable outcomes Serve as the primary owner of the Salesforce-based Quote-to-Cash ecosystem, including product configuration, pricing, quoting, approvals, and order management workflows Oversee Conga solutions and ensure pricing logic, product catalogs, and discounting rules align with Finance and Product policies • Manage contract lifecycle management capabilities while partnering with Legal and Sales Operations to streamline contract workflows and improve cycle time • Lead order management processes and define integration strategies across ERP, commissions, fulfillment, billing, and related enterprise systems • Champion a user-centered design approach in partnership with UX/UI teams to deliver intuitive workflows while balancing compliance requirements • Identify and implement AI-enabled solutions and act as a key partner across cross-functional stakeholders to drive alignment, decision-making, and resolution of complex issues About the Team Our Business Systems team leads the strategy and execution of enterprise platforms that power Moody’s revenue lifecycle.

Skills and Competencies 10+ years of experience in risk management across the digital economy, AI/ML, and blockchain with a strong focus on technology governance, RCSA, control evaluation, and financial services compliance • Hands-on experience developing AI and GenAI-powered applications Deep expertise in AI model lifecycle governance including validation, transparency, and explainability, with experience assessing and managing risk appetite in emerging technology domains Practical experience with decentralized finance and blockchain operational risk Broad-based technology experience operating at scale and complexity in a global, highly regulated environment • Proven ability to establish and maintain strong relationships between business and technical stakeholders Demonstrated capability to evaluate and prioritize strategic initiatives while balancing diverse stakeholder needs and driving alignment Clear thinker with strong analytical skills to review and challenge complex processes • Strong verbal and written communication skills Ability to work independently with or without direct supervision Demonstrated success leading large-scale initiatives with diverse, global, and cross-functional teams Ability to influence cross-functionally and enterprise-wide while asserting second line risk responsibility in a consultative manner • Strong prioritization, multitasking, flexibility, and adaptability skills Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. • Strong experience using AI tools to lead innovation initiatives.

Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education Bachelor’s degree required in cybersecurity, computer science, computer engineering, information technology, information systems, or a related field Professional certifications such as CISSP, CISA, or equivalent are preferred Responsibilities This role is responsible for leading and executing risk-based IT and cybersecurity audits while providing insights on emerging technology risks across the organization. • Lead and execute IT and cybersecurity audits with a focus on cloud, AI, and modern technology risks • Develop an understanding of technology environments, business processes, and associated risks and controls Plan audit scope through process analysis, risk assessment, and control identification • Evaluate cybersecurity governance, cloud security, identity access management, infrastructure security, and data protection controls Execute audit testing and maintain high-quality, well-documented workpapers • Translate technical findings into clear, actionable business insights and recommendations • Communicate effectively with stakeholders across Cyber, Technology, Data, and Product teams Track and validate remediation efforts to ensure sustainable control improvements About the Team The Internal Audit team is dedicated to delivering independent, objective assurance and advisory services that enhance organizational value and strengthen risk management, control, and governance processes across Moody’s global operations.

Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position Skills and Competencies 2+ years experience with demonstrated ability to manage project plans, timelines, dependencies, risks, issues, and governance across multiple initiatives • Strong communication, presentation, and stakeholder management skills with the ability to engage client stakeholders and cross-functional teams • Experience working in SaaS, data, analytics, financial software, or technology-enabled environments • Knowledge of APIs, data platforms, and CRM/ERP systems within technical implementation environments is preferred Ability to translate business and client requirements into structured delivery plans, milestones, and measurable outcomes • Proven capability to manage competing priorities and deliver high-quality results in client-facing environments Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. • Proven ability to implement AI-powered solutions to solve business challenges.

Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education Undergraduate degree (Bachelor’s) required, preferably in Finance, Business, Technology, Computer Science, or a related field Advanced degree (Master’s or MBA) preferred Project management certification such as PMP, PRINCE2, Agile, or Scrum Master is desirable Responsibilities • Lead the end-to-end delivery of client implementation projects supporting GenAI-driven data and analytics solutions. • Lead delivery of client implementation projects involving GenAI-ready data, analytics, and API-driven solutions aligned to business outcomes • Translate client and business requirements into structured project plans, workstreams, milestones, and success criteria • Manage project timelines, risks, dependencies, and ensure high-quality delivery Coordinate across internal teams including Product, Engineering, Data, Sales, and • Support to ensure delivery readiness Apply Agile and project management best practices to maintain governance, transparency, and flexibility Track and report on project progress using defined KPIs and tools to ensure accountability and continuous improvement Act as an escalation point for delivery risks and client concerns, ensuring timely resolution and stakeholder confidence • Support pre-sales activities and capture client feedback to improve delivery methodologies and reusable assets About the Team The Solutions Delivery team provides expertise across Moody’s data products and services, supporting the implementation and ongoing use of data-driven solutions for clients.

Skills and Competencies Extensive experience in product management and technical leadership within the insurance industry, with a strong focus on underwriting solutions Deep knowledge of primary insurance underwriting processes, methodologies, and technologies across property and casualty, life, and health lines • Proven ability to define product strategy, develop multi-year roadmaps, and lead teams through complex product lifecycles • Strong technical acumen with experience partnering closely with software engineering, data science, and analytics teams Demonstrated expertise leveraging advanced analytics, predictive modeling, AI, and machine learning to drive product innovation Exceptional communication skills with the ability to translate complex technical concepts for executive, client, and non-technical audiences Strategic mindset with strong analytical and problem-solving skills and a passion for delivering measurable business impact Basic understanding of AI concepts, with curiosity to learn, improve processes using AI tools, and develop responsible AI awareness Education Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Actuarial Science, or a related field; advanced degree or certifications (CPCU, ACAS, FCAS) are a plus Responsibilities • Provide strategic and technical leadership for the Application Product Management team, driving the vision and execution of UnderwriteIQ and primary underwriting solutions. • Define and communicate product strategy and vision aligned with Moody’s Insurance Solutions business goals • Lead and mentor the product management team, establishing priorities, roadmaps, and execution of key initiatives • Collaborate with senior leadership on long-term product strategies to drive growth and competitive advantage Oversee the full product lifecycle from ideation through release, enhancement, and ongoing maintenance • Partner with engineering, data science, and QA teams to ensure timely, high-quality product delivery Engage clients to gather feedback, support onboarding, lead presentations, and inform roadmap decisions • Drive development of advanced analytics, underwriting models, and AI/ML capabilities to improve efficiency and accuracy Monitor market trends, regulatory changes, and emerging technologies to proactively evolve products and meet customer needs About the Team The Application Product Management team within Moody’s Insurance Solutions collaborates with technology, data, and business stakeholders to deliver innovative underwriting solutions.

Independently manage the product lifecycle from discovery through release and post-launch iteration • Prioritize features and tasks based on business value, effort, and stakeholder input Write clear product requirements, user stories, and acceptance criteria to guide engineering teams • Define and track key performance metrics including match accuracy, ingestion latency, API throughput, and user adoption • Lead agile ceremonies including sprint planning, backlog grooming, stand-ups, and retrospectives • Identify user needs through research, stakeholder engagement, and usability testing to validate solutions Own the roadmap for data ingestion, including pipelines, indexing, and storage to ensure data quality and performance • Collaborate with engineering, data, and cross-functional teams to optimize search relevance, integrations, and product delivery About the Team Our team focuses on building scalable, data-driven platforms that power critical entity resolution and matching capabilities across Moody’s.

Skills & Competencies 15+ years’ experience in a pre-sales, solution consulting, or client-facing technical role within a data, analytics, or technology organization • Strong experience with data architecture, including data lakes (e.g., Risk Data Lake), integrations, SQL/database services, and API‑driven workflows Ability to leverage AI/GenAI technologies (including MCP, agentic workflows, and GenAI-ready data) to support client use cases and solution positioning • Experience supporting complex sales cycles, including RFPs, demos, and proofs of concept, with a focus on technical solutioning • Proven ability to translate client requirements into scalable, technically sound architectures aligned to business outcomes • Strong understanding of integration strategies, including REST APIs, scripting, and orchestration across platforms Ability to engage credibly with both business and technical stakeholders, including C‑suite and engineering teams • Strong presentation and communication skills with the ability to simplify complex data, integration, and AI concepts Consultative approach with experience influencing decision makers across varied client environments • Strong problem-solving skills with the ability to diagnose technical and workflow challenges and develop effective solutions Ability to operate both independently and collaboratively within cross-functional teams • Experience working closely with product, engineering, or consulting teams to drive adoption and client success Ability to scope and size technical environments, including compute, storage, and large-scale data workflows Willingness to travel as needed Education Bachelor’s degree in computer science, data science, engineering, or a related technical field required Advanced degree (e.g., Master’s) in a related technical discipline preferred Responsibilities This role serves as a technical pre-sales leader supporting Moody’s catastrophe modeling, data, and technology solutions across insurance, reinsurance, and broker clients.

Skills and Competencies Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position 8+ years of experience in technical product management or data engineering for data-intensive B2B products, with a strong grasp of agile methodologies and delivery practices • Experience with data platforms and analytics environments such as Snowflake, Databricks, Redshift, Athena, or Kafka Expertise in defining, monitoring, and operationalizing data quality and QA standards for downstream analytics and AI consumers Proficiency with SQL for data analysis, troubleshooting, and validation, with familiarity in how data is consumed by machine learning or AI systems Results-oriented mindset with the ability to drive delivery in complex, matrixed environments and manage vendors or external partners • Strong communication and analytical skills, including the ability to translate complex data concepts for technical and non-technical stakeholders and persist through problem solving with attention to detail Demonstrated initiative, curiosity, and commitment to continuous improvement, with experience improving team effectiveness and proficiency in AI tools, responsible AI use, and workflow optimization Education Bachelor’s degree required; advanced degree such as an MBA or Master’s preferred Responsibilities • Lead and own a data engineering squad responsible for delivering high-quality, governed data on a core data platform that drives customer and business value.

Skills and Competencies Five or more years of experience in data engineering, building and operating production-grade data pipelines • Strong programming experience with Python, PySpark, Scala, and SQL • Proven experience designing or working with configuration- or metadata-driven data pipelines • Hands-on experience working within a Databricks-based data platform Solid understanding of data modeling, schema evolution, and large-scale dataset management • Experience deploying and operating data solutions in AWS and Azure cloud environments Working knowledge of CI/CD concepts and integrating data pipelines into automated workflows Demonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI use Education Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Responsibilities This role is responsible for designing, implementing, and operating scalable ETL and ELT pipelines to support enterprise and commercial data delivery within Moody’s Databricks ecosystem. • Develop and operate scalable ETL and ELT pipelines to ingest, transform, and publish data across domains • Build and optimize data transformations and validations using Python, PySpark, Scala, and SQL • Implement configuration-driven pipeline frameworks to onboard and manage datasets efficiently • Ensure data products are structured, performant, and optimized for downstream consumption • Partner with stakeholders to define data contracts, schemas, SLAs, and quality standards Apply best practices for data reliability, observability, and cost optimization • Contribute to CI/CD practices, including automated testing, deployment, and promotion • Support data governance initiatives, including data quality, lineage, and access controls About the Team This team plays a mission-critical role within the Enterprise Data Platform (CORE), supporting a highly complex and impactful component of Moody’s data estate.

Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use • Experience with SOC, SOX, and ISO 27001 compliance frameworks • Experience developing scripts or automated workflows (e.g., PowerShell, Python, or similar) to streamline access certification processes Education Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field, or equivalent professional experience Responsibilities The AVP-Cybersecurity Engineer supports the Identity, Risk and Controls team in managing user access certifications, analyzing identity data, and delivering automation solutions that strengthen access controls across the organization. • Support and manage the user access certification process across the organization, ensuring accuracy and compliance with applicable standards Analyze identity and access data to validate certification accuracy and identify potential risks or discrepancies • Develop and deliver automation technologies to replace manual processes and improve operational efficiency • Collaborate cross-functionally with intra- and inter-team partners to ensure seamless execution of identity and access control processes • Provide guidance and support to users on application features and best practices related to access certifications • Contribute to the development and maintenance of access control frameworks in alignment with SOC, SOX, and ISO 27001 standards • Communicate analytical findings and insights to both technical and non-technical stakeholders to support data-driven decision-making • Lead the team and make informed decisions to support operational and risk management objectives About the Team The Access Certification team operates within the Identity, Risk and Controls function as part of the Cybersecurity organization at Moody’s.

Education Undergraduate or first-level degree (e.g., Bachelor’s degree) required Responsibilities This role is responsible for managing the end-to-end sales lifecycle for a portfolio of client accounts, driving new business opportunities, and serving as a trusted advisor to senior executives within banking and non-bank financial institutions. • Manage the full sales lifecycle for a client account base, identifying new sales opportunities and acting as a primary point of contact for C-level executives • Identify and initiate new sales opportunities through prospecting new clients, leveraging existing relationships, and leading contract negotiations Market credit risk products and service solutions to a wide range of banking and non-bank financial institutions Meet or exceed established revenue targets by generating new revenue and defending and growing existing revenue streams Serve as the primary point of contact for senior executives, including Chief Risk Officers and Chief Financial Officers, at client organizations • Collaborate with Product Specialists, Strategists, Relationship Managers, and other internal partners to leverage appropriate expertise throughout the sales cycle • Provide accurate and current sales forecasts and pipeline updates to management Represent the company at industry conferences and company-sponsored events Travel approximately 30–40% as required to support client engagement and business development activities About the Team The Digital Content & Innovation team manages the full sales lifecycle for client accounts, with a strong focus on identifying new opportunities and serving as the primary point of contact for C-level executives.

Responsibilities This role is responsible for setting and executing the regional life insurance sales strategy while leading a specialist sales organization to drive sustainable revenue growth and long-term client partnerships. • Lead, manage, and develop a team of Life Insurance Sales Specialists and Solution Specialists to achieve individual and regional sales objectives.

By joining our team, you will be part of exciting work alongside a best-in-class group of professionals who are shaping the future of compliance technology at Moody's.

Designate pilot customers for new products that are being developed and ensure customer involvement in the product development. • Partner with marketing, events, and product strategy teams to drive events and sales campaigns.

This expertise should include a comprehensive understanding of private credit investment workflows, operating models, fund structures, and risk management practices, as well as how data, analytics, and technology are applied across these processes. • Minimum 10+ years of experience in private credit, alternative investments, or asset management, with exposure to direct lending, opportunistic credit, or structured credit. • Strong understanding of private credit operating models, investment lifecycle workflows, and supporting technology ecosystems.

Skills and Competencies 7+ years’ experience in direct business-to-business sales, leading complex sales cycles to successful conclusions through consultative selling techniques (e.g., MEDDPICC, Challenger) Demonstrated success building relationships with senior-level decision-makers and selling into large, complex financial institutions, corporations, or government entities • Strong knowledge of KYC/Third Party Risk and Compliance, business intelligence data, and/or how organizations use data within functions such as Master Data, Sales/Marketing, and Supply Chain Creative problem-solving skills with the ability to diagnose issues and develop solutions that address client business requirements Results-oriented self-starter with a hunter mentality, comfortable in a fast-paced environment and able to manage multiple sales cycles to meet timelines Excellent verbal and written communication and presentation skills Ability to leverage AI technologies to enhance decision-making, streamline processes, and drive innovation Willingness to travel for face-to-face client meetings (approximately 65% to 70%) Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency; willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Undergraduate or first-level degree (e.g., Bachelor’s degree) is required, with coursework in business, economics, finance, marketing, or related fields Responsibilities This role is responsible for driving growth of Moody’s KYC and Data solutions by managing full sales cycles, developing territory strategies, and building strong client relationships through consultative selling and cross-functional collaboration. • Drive the sales process for Moody’s KYC and Data solutions by identifying, qualifying, and closing new business opportunities • Build and execute sales strategies to meet or exceed annual sales goals and targets • Lead the development of business within assigned territories by identifying and qualifying prospects, initiating new sales activity, and managing sales cycles to closure • Partner with Solution Specialists to develop clear, concise proposals and deliver targeted client demonstrations that address specific business needs • Build and maintain strong client relationships by identifying gaps and recommending solutions based on client business requirements Act as a market expert and provide relevant product use cases throughout the sales cycle • Provide accurate forecasts and current pipeline information to management • Collaborate with Product Management and Product Strategy to promote improvements in product quality and support the development of new revenue sources Represent the company at industry and company-sponsored events • Collaborate with and assist in the training and onboarding of new team members About the Team The KYC Sales team is responsible for supporting compliance with Know Your Customer regulations while driving sales growth through effective customer onboarding and relationship management.