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Moody's Corporation

Moody's Corporation

www.moodys.com

17 Jobs

14,837 Employees

About the Company

In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively. With a rich history of expertise in global markets and a diverse workforce in more than 40 countries, Moody’s unites the brightest minds to turn today’s risks into tomorrow’s opportunities.

Listed Jobs

Company background Company brand
Company Name
Moody's Corporation
Job Title
SVP Mgr-Business Process Transformation
Job Description
Job title: SVP Manager – Business Process Transformation Role Summary: Senior executive responsible for orchestrating enterprise‑wide business process transformation, digitalisation, and AI integration to enhance revenue generation, lead quality, and operational efficiency. Drives the vision, strategy, and execution of lead generation and AI‑powered sales tools, aligning cross‑functional teams with global leadership and delivering measurable business outcomes. Expactations: - Deliver scalable AI and digital solutions that improve lead generation, customer insights, and sales productivity. - Own revenue outcomes, cost efficiencies, and process improvements through technology roadmaps and governance. - Influence senior leadership and secure buy‑in for transformation initiatives across finance, sales, and technology functions. - Maintain rigorous data management, compliance, and reporting frameworks for decision‑making and regulatory adherence. - Champion change, inspire multidisciplinary teams, and foster a culture of continuous improvement and ethical AI use. Key Responsibilities: 1. Define and champion the vision & strategy for lead generation, qualification, and AI-enabled sales processes within the RM ecosystem. 2. Lead the design, delivery, and governance of digital lead generation tools and AI‑driven automation (LLM, GPT, etc.). 3. Oversee the technology roadmap, ensuring alignment with business, security, and compliance requirements. 4. Serve as Process Owner for lead generation, managing controls, RCSA, and process documentation. 5. Develop and maintain dashboards to track key metrics (lead quality, conversion rates, revenue impact). 6. Drive initiatives for Customer 360 and portfolio grouping to enhance holistic client insights. 7. Negotiate and consolidate subscription product offerings that support lead generation objectives. 8. Manage stakeholder relationships across Sales, GTM, HR, Legal, and IT to accelerate adoption. 9. Conduct regular reviews of process performance and lead continuous improvement plans. Required Skills: - 10+ years in commercial strategy, business process transformation, or digitalisation within financial services or B2B. - Proven track record delivering large‑scale AI and digital transformation projects. - Expertise in lead generation, sales enablement, and digital tools (Salesforce, HubSpot, Snowflake, BigQuery). - Strong AI strategy, governance, risk management, and ethical framework knowledge. - Advanced data analysis, reporting, and process governance capabilities. - Leadership, stakeholder management, and executive communication skills. - Project management acumen with ability to multitask in fast‑paced environments. - Familiarity with AI‑powered GTM tools, LLM automation, and API integrations. Required Education & Certifications: - Bachelor’s degree (required). - MBA or equivalent advanced business qualification (preferred). - Six Sigma, Lean, or similar process‑improvement certification (advantageous).
London, United kingdom
On site
Senior
29-10-2025
Company background Company brand
Company Name
Moody's Corporation
Job Title
Vice President, Data Security and Data Loss Prevention
Job Description
**Job Title** Vice President, Data Security and Data Loss Prevention **Role Summary** Lead enterprise‑wide data protection strategy, ensuring that data loss prevention (DLP) and overall data security programs align with business goals and regulatory requirements. Own the design, deployment, and continuous improvement of DLP technologies, policies, and incident response while building a high‑performance team and fostering cross‑functional collaboration. **Expectations** - Deliver a long‑term data security roadmap that satisfies organizational objectives and compliance standards. - Demonstrate expertise in AI‑driven security solutions and responsible AI risk management. - Provide measurable outcomes through KPIs and metrics for DLP effectiveness. - Maintain up‑to‑date knowledge of emerging threats, tools, and regulatory changes. **Key Responsibilities** 1. Develop, lead, and execute the global DLP and data security strategy across cloud, hybrid, and on‑prem environments. 2. Oversee deployment, configuration, and performance of DLP technologies (e.g., Microsoft Purview, Varonis, Proofpoint). 3. Build and manage a high‑performing data security team. 4. Collaborate with Legal, Compliance, IT, and business leaders to uphold data protection standards and policies. 5. Establish KPIs and metrics to monitor DLP program effectiveness and report results to executive leadership. 6. Own incident response processes for data loss events and manage audit and forensic activities when necessary. 7. Stay ahead of emerging threats, tools, and regulatory changes; recommend proactive enhancements. **Required Skills** - 10+ years in cybersecurity with 5+ years focused on DLP or data protection strategies. - Proven strategic planning, program management, and team leadership experience. - Deep expertise in DLP technologies, policy development, and data classification frameworks. - Strong understanding of privacy regulations (GDPR, CCPA, HIPAA) and compliance frameworks (NIST, ISO 27001). - Ability to craft and evangelize long‑term data security roadmaps aligned with enterprise goals. - Excellent communication and stakeholder engagement capabilities. - Proficient at evaluating and mitigating data exposure risks across cloud, hybrid, and on‑prem environments. - Demonstrated ability to implement AI‑powered solutions for business challenges and to manage AI risk responsibly. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Security, or a related field. - Preferred certifications: CISSP, CIPP, CISM, or equivalent.
New york, United states
On site
Senior
05-11-2025
Company background Company brand
Company Name
Moody's Corporation
Job Title
Applied AI - Summer Intern
Job Description
**Job Title:** Applied AI – Summer Intern **Role Summary:** Support the Banking Business Unit in developing and prototyping AI solutions, including generative AI, for financial risk assessment and decision support. Work on real‑world projects, conduct data analysis, research emerging AI tools, and translate business needs into technical implementations while collaborating with internal and external stakeholders. **Expectations:** - Deliver AI prototypes and analyses within a 10‑week internship (June 15 – August 21, 2026). - Show initiative, quickly learn new technologies, and work both independently and in a team. - Communicate technical concepts clearly to non‑technical audiences. **Key Responsibilities:** - Design and implement AI prototypes for risk assessment and decision‑support applications. - Perform data analysis and context engineering using banking/financial datasets. - Research and evaluate emerging AI frameworks, tools, and academic methods. - Contribute to generative‑AI projects addressing business challenges. - Translate business requirements into AI‑driven solutions in collaboration with stakeholders. - Present findings and project outcomes to technical and non‑technical audiences. - Keep abreast of AI advancements relevant to banking and finance. **Required Skills:** - Solid understanding of machine learning, NLP, and data engineering concepts. - Hands‑on experience with generative AI models/platforms (e.g., OpenAI, Hugging Face, Google Gemini). - Proficiency in Python or similar programming languages. - Strong analytical, problem‑solving, and critical‑thinking abilities. - Ability to learn quickly, take initiative, and work effectively in a team. - Excellent written and verbal communication skills for diverse audiences. - Demonstrated interest in applied AI through coursework, research, or open‑source contributions. **Required Education & Certifications:** - Currently pursuing a bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Data Science, Economics, Business, Finance, or a related field. - No specific certifications required; eligibility to work for the full 10‑week internship period.
London, United kingdom
On site
Fresher
11-11-2025
Company background Company brand
Company Name
Moody's Corporation
Job Title
Asset Management AI Summer Intern
Job Description
Job title: Asset Management AI Summer Intern Role Summary: Work with the Asset Management unit to build and refine AI‑driven tools that improve portfolio management and client engagement. Leverage analytics, machine learning, and natural language processing to support asset allocation, optimization, and reporting across institutional clients. Expatations (Expectations): * Complete a 10‑week internship (June 15 – August 21 2026). * Deliver usable AI prototypes and model outputs. * Present findings to product managers, asset specialists, and technology teams. * Follow governance policies, including AI ethics and risk management. Key Responsibilities: * Design and develop AI‑based solutions for asset allocation and portfolio optimization. * Build natural‑language interfaces to aid client interactions. * Create multi‑period optimization models and automated reporting workflows. * Collaborate with cross‑functional teams to align technology with business objectives. * Conduct data exploration, model validation, and performance monitoring. * Keep abreast of emerging AI techniques and recommend their application. Required Skills: * Strong quantitative background: statistics, probability, or linear algebra. * Programming in Python or R; familiarity with AI/ML libraries (e.g., scikit‑learn, TensorFlow, PyTorch). * Experience with scenario generation, portfolio optimization, or valuation modeling. * Knowledge of buy‑side investment strategies and risk frameworks is a plus. * Hands‑on use of cloud data platforms (AWS, Azure, GCP) or SaaS analytics tools. * Excellent written and oral communication; ability to explain technical concepts to non‑technical stakeholders. * Demonstrated use of AI tools to improve workflow or operational efficiency. Required Education & Certifications: * Current enrollment in a bachelor’s or master’s program in Computer Science, Mathematics, Financial Engineering, or a related quantitative discipline. * No specific certifications required; coursework in machine learning, data science, or quantitative finance preferred.
London, United kingdom
On site
Fresher
18-11-2025