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 problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake offs, and making evidence based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias mitigation controls, and participate in required reviews, sign offs, and documentation. Run structured evaluations and bake offs of models, tools, and frameworks, and provide evidence based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
18/05/2026
Full time
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 problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake offs, and making evidence based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias mitigation controls, and participate in required reviews, sign offs, and documentation. Run structured evaluations and bake offs of models, tools, and frameworks, and provide evidence based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Moody's Investors Service is seeking a Software Engineer specializing in AI systems to design and implement robust backend solutions using Node.js and Python. The ideal candidate will have over 3 years of experience in backend software development, particularly with AI applications involving machine learning techniques. Responsibilities include building scalable systems and collaborating with data scientists and machine learning engineers to optimize AI-driven solutions. A Bachelor's degree in Computer Science or a related field is required.
18/05/2026
Full time
Moody's Investors Service is seeking a Software Engineer specializing in AI systems to design and implement robust backend solutions using Node.js and Python. The ideal candidate will have over 3 years of experience in backend software development, particularly with AI applications involving machine learning techniques. Responsibilities include building scalable systems and collaborating with data scientists and machine learning engineers to optimize AI-driven solutions. A Bachelor's degree in Computer Science or a related field is required.
Moody's Investors Service in Salford is seeking a technical support specialist to manage software issues, enhance application performance monitoring, and ensure operational readiness. The ideal candidate will have over 3 years of experience in technical support, strong communication skills, and a solid grasp of databases and cloud services. A bachelor's degree is required, while a master's is a plus. Moody's offers a diverse, inclusive work environment where innovative ideas are welcomed.
17/05/2026
Full time
Moody's Investors Service in Salford is seeking a technical support specialist to manage software issues, enhance application performance monitoring, and ensure operational readiness. The ideal candidate will have over 3 years of experience in technical support, strong communication skills, and a solid grasp of databases and cloud services. A bachelor's degree is required, while a master's is a plus. Moody's offers a diverse, inclusive work environment where innovative ideas are welcomed.
As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production grade software solutions that leverage cutting edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js and Python, while also integrating machine learning workflows and AI driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Skills and Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production grade systems Hands on experience with AI applications, including LLM implementations, retrieval augmented generation, prompt optimization, and fine tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python based AI tools is preferred Excellent problem solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities Design and implement AI driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents. Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval augmented generation, prompt optimization, fine tuning, and reinforcement learning. Develop end to end pipelines for data ingestion, feature engineering, model inference (batch and real time), and integration of AI driven workflows into production systems. Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI. Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high volume inference workloads. Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems. Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models. Lead the implementation of autonomous agents capable of multi step reasoning, decision making, and tool use in production environments. Participate in design reviews, write high quality code, and contribute to documentation to ensure team wide efficiency and maintainability. Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
17/05/2026
Full time
As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production grade software solutions that leverage cutting edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js and Python, while also integrating machine learning workflows and AI driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Skills and Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production grade systems Hands on experience with AI applications, including LLM implementations, retrieval augmented generation, prompt optimization, and fine tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python based AI tools is preferred Excellent problem solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities Design and implement AI driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents. Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval augmented generation, prompt optimization, fine tuning, and reinforcement learning. Develop end to end pipelines for data ingestion, feature engineering, model inference (batch and real time), and integration of AI driven workflows into production systems. Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI. Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high volume inference workloads. Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems. Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models. Lead the implementation of autonomous agents capable of multi step reasoning, decision making, and tool use in production environments. Participate in design reviews, write high quality code, and contribute to documentation to ensure team wide efficiency and maintainability. Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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 1-3 years' experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets. Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use. Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows. Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development. Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets. Strong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs. Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non technical stakeholders Education Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Responsibilities Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery. Develop and execute processes to monitor, manage, and improve data quality across datasets Design and implement data deduplication frameworks to improve data accuracy and usability. Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency. Collaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needs. Support stakeholders by delivering data insights and responding to data-related queries. Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability. Maintain best practices in data governance, data modeling, and pipeline optimization. About the Team Our Data Estate team is responsible for delivering high-quality, mission-critical data that powers decision-making across global markets.We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence.By joining our team, you will contribute to innovative data solutions supporting global customers across industries. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
16/05/2026
Full time
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 1-3 years' experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets. Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use. Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows. Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development. Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets. Strong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs. Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non technical stakeholders Education Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Responsibilities Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery. Develop and execute processes to monitor, manage, and improve data quality across datasets Design and implement data deduplication frameworks to improve data accuracy and usability. Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency. Collaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needs. Support stakeholders by delivering data insights and responding to data-related queries. Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability. Maintain best practices in data governance, data modeling, and pipeline optimization. About the Team Our Data Estate team is responsible for delivering high-quality, mission-critical data that powers decision-making across global markets.We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence.By joining our team, you will contribute to innovative data solutions supporting global customers across industries. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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 3+ years of technical support experience on web applications. Self-motivated independent thinker and problem solver. Excellent written and verbal communication skills for all organizational levels. Solid understanding of relational and NoSQL databases. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with incident management processes, ITIL framework, and best practices. Experience across all phases of software development, working with Agile teams and stakeholders. Knowledge of application performance monitoring tools like Dynatrace, Datadog, AWS CloudWatch, or Splunk is a plus. Basic knowledge of Unix/Linux environment. Education Bachelor's degree or equivalent; master's degree is a plus. Responsibilities Manage case queues: Handle requests and issues in software programs, ensuring timely resolution. Participate in bridge calls: Address high severity issues and be available for urgent situations. Design monitoring frameworks: Develop and maintain dashboards for actionable insights into application performance. Monitor alerts: Resolve platform performance issues using synthetic monitoring alerts and other tools. Track customer-reported bugs: Use issue tracking systems to manage and resolve bugs. Project ownership: Ensure timely communication of updates and progress to internal teams. Customer triage sessions: Address technical issues with customers and provide solutions. Document triage steps: Create knowledge base entries for future reference and training. About the team The DC&I Operations team is responsible for ensuring the reliability, stability, and operational readiness of Moody's DCI products. We act as the last line of defense between technical issues and customer impact, providing 24/7 incident management, on call support, and proactive observability across a diverse portfolio of data and analytics driven platforms. Through standardized incident processes, deep system visibility, and increasing automation, the team works closely with engineering and product partners to detect issues early, resolve incidents efficiently, and continuously improve platform resilience. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
16/05/2026
Full time
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 3+ years of technical support experience on web applications. Self-motivated independent thinker and problem solver. Excellent written and verbal communication skills for all organizational levels. Solid understanding of relational and NoSQL databases. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with incident management processes, ITIL framework, and best practices. Experience across all phases of software development, working with Agile teams and stakeholders. Knowledge of application performance monitoring tools like Dynatrace, Datadog, AWS CloudWatch, or Splunk is a plus. Basic knowledge of Unix/Linux environment. Education Bachelor's degree or equivalent; master's degree is a plus. Responsibilities Manage case queues: Handle requests and issues in software programs, ensuring timely resolution. Participate in bridge calls: Address high severity issues and be available for urgent situations. Design monitoring frameworks: Develop and maintain dashboards for actionable insights into application performance. Monitor alerts: Resolve platform performance issues using synthetic monitoring alerts and other tools. Track customer-reported bugs: Use issue tracking systems to manage and resolve bugs. Project ownership: Ensure timely communication of updates and progress to internal teams. Customer triage sessions: Address technical issues with customers and provide solutions. Document triage steps: Create knowledge base entries for future reference and training. About the team The DC&I Operations team is responsible for ensuring the reliability, stability, and operational readiness of Moody's DCI products. We act as the last line of defense between technical issues and customer impact, providing 24/7 incident management, on call support, and proactive observability across a diverse portfolio of data and analytics driven platforms. Through standardized incident processes, deep system visibility, and increasing automation, the team works closely with engineering and product partners to detect issues early, resolve incidents efficiently, and continuously improve platform resilience. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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 1-3 years' experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets. Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use. Hands on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows. Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development. Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets. Strong communication and problem solving skills to collaborate across global teams and translate complex data insights into actionable outputs. Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies. Ability to communicate technical concepts clearly to non technical stakeholders. Education Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Responsibilities Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery. Develop and execute processes to monitor, manage, and improve data quality across datasets. Design and implement data deduplication frameworks to improve data accuracy and usability. Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency. Collaborate with cross functional teams (Sales, Product, Technology) to align data solutions with business needs. Support stakeholders by delivering data insights and responding to data related queries. Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability. Maintain best practices in data governance, data modeling, and pipeline optimization. About the Team Our Data Estate team is responsible for delivering high quality, mission critical data that powers decision making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
15/05/2026
Full time
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 1-3 years' experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets. Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use. Hands on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows. Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development. Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets. Strong communication and problem solving skills to collaborate across global teams and translate complex data insights into actionable outputs. Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies. Ability to communicate technical concepts clearly to non technical stakeholders. Education Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Responsibilities Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery. Develop and execute processes to monitor, manage, and improve data quality across datasets. Design and implement data deduplication frameworks to improve data accuracy and usability. Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency. Collaborate with cross functional teams (Sales, Product, Technology) to align data solutions with business needs. Support stakeholders by delivering data insights and responding to data related queries. Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability. Maintain best practices in data governance, data modeling, and pipeline optimization. About the Team Our Data Estate team is responsible for delivering high quality, mission critical data that powers decision making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Moody's Investors Service in Salford is seeking candidates for a Data Governance role focused on maintaining data accuracy and regulatory reporting standards. The ideal candidate will possess 3-5 years of experience in data governance, proficiency in SQL, and a graduate degree in a relevant field. Responsibilities include collaboration with cross-functional teams, managing data quality issues, and ensuring compliance with data governance standards. The role also encourages exploration of AI to enhance data processes.
15/05/2026
Full time
Moody's Investors Service in Salford is seeking candidates for a Data Governance role focused on maintaining data accuracy and regulatory reporting standards. The ideal candidate will possess 3-5 years of experience in data governance, proficiency in SQL, and a graduate degree in a relevant field. Responsibilities include collaboration with cross-functional teams, managing data quality issues, and ensuring compliance with data governance standards. The role also encourages exploration of AI to enhance data processes.
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. Skills and Competencies Strong analytical and problem solving skills with the ability to identify data anomalies, inefficiencies, and drive cross functional consensus Proficiency in SQL for data extraction, analysis, and mapping, along with experience using ETL tools, Alteryx/Databricks for automation, and Power BI for dashboards and reporting Ability to create and maintain SOPs, data dictionaries, and data mappings for regulatory reporting processes with subject matter expertise in regulatory reporting Experience monitoring and improving data accuracy, consistency, compliance, and resolving operational data issues 3-5 years of experience in data governance, data management, and data modeling, with familiarity in DBeaver, pgAdmin, Microsoft Access, and Collibra Advanced proficiency in Microsoft Excel (VBA, macros, VLookups), SQL, Word, and PowerPoint, with experience in JIRA and Agile methodologies (preferred) Self motivated, organized team player with the ability to manage multiple priorities and meet tight deadlines Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Graduate BA/BS degree in Business, Finance, Technology, Engineering, or a related field is required Certifications in Data Governance (preferred) SQL Certification (Microsoft SQL Server, Oracle SQL, or Google Data Analytics) Alteryx Designer Core or Advanced Certification Databricks Certifications preferred Responsibilities Maintain data accuracy, completeness, and lineage across regulatory reporting data assets while identifying data quality issues, patterns, and anomalies Facilitate collaboration with Report Owners, Technology teams, and cross functional partners (including ODC, Compliance, Government and Public Affairs, Legal, MIT, etc.) to ensure high quality regulatory report data and automate validation tasks Manage data quality issues operationally by conducting root cause/deep dive analyses and partnering with data providers to remediate defects Identify areas for data quality improvement and support resolution through appropriate error detection, correction, process controls, and process design or redesign strategies Perform data mining, data cleansing, reconciliation, and data maintenance activities with stakeholders for the regulatory reporting function Develop and apply subject matter expertise on regulatory reporting assets, policies, procedures, and guidelines Conduct data lifecycle analysis including data profiling, requirements gathering and documentation, data mappings, process and data design flows, data quality controls input, creation of automated business rules, and testing assistance Participate in defining data concepts and common reference data while establishing sound data usage practices across relevant partners Ensure data quality and fitness for purpose of the organization's regulatory reporting data assets, including working with Technology teams to store the metadata for those data assets Develop and maintain Standard Operating Procedures (SOPs), update and manage data dictionaries and other related data in Collibra, and ensure adherence to data governance standards Define, document, and manage business and data requirements and data mappings, collaborating cross vertically and globally with key stakeholders to support MIS' strategy and activities About the Team Our Regulatory Reporting - Data Quality team is responsible for upholding the highest standards of data accuracy, consistency, completeness, and reliability to ensure that Moody's Ratings data is proactively managed and delivered in our regulatory reports and feeds. By joining our team, you will be part of exciting work in Ratings & Operations Regulatory Reporting in Bengaluru, where we are increasingly leveraging AI enabled tools and responsible automation practices to enhance data quality, streamline validation workflows, and support continuous improvement across regulatory reporting functions. As part of the Global Ratings Operations & Controls (ROC) organization, our teams collaborate across business units that continue to adopt AI powered solutions to improve operational efficiency and strengthen governance. We actively explore AI capabilities to support scalable data management, strengthen quality oversight, and advance our commitment to responsible and ethical AI use across the lifecycle of regulatory data. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
15/05/2026
Full time
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. Skills and Competencies Strong analytical and problem solving skills with the ability to identify data anomalies, inefficiencies, and drive cross functional consensus Proficiency in SQL for data extraction, analysis, and mapping, along with experience using ETL tools, Alteryx/Databricks for automation, and Power BI for dashboards and reporting Ability to create and maintain SOPs, data dictionaries, and data mappings for regulatory reporting processes with subject matter expertise in regulatory reporting Experience monitoring and improving data accuracy, consistency, compliance, and resolving operational data issues 3-5 years of experience in data governance, data management, and data modeling, with familiarity in DBeaver, pgAdmin, Microsoft Access, and Collibra Advanced proficiency in Microsoft Excel (VBA, macros, VLookups), SQL, Word, and PowerPoint, with experience in JIRA and Agile methodologies (preferred) Self motivated, organized team player with the ability to manage multiple priorities and meet tight deadlines Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Graduate BA/BS degree in Business, Finance, Technology, Engineering, or a related field is required Certifications in Data Governance (preferred) SQL Certification (Microsoft SQL Server, Oracle SQL, or Google Data Analytics) Alteryx Designer Core or Advanced Certification Databricks Certifications preferred Responsibilities Maintain data accuracy, completeness, and lineage across regulatory reporting data assets while identifying data quality issues, patterns, and anomalies Facilitate collaboration with Report Owners, Technology teams, and cross functional partners (including ODC, Compliance, Government and Public Affairs, Legal, MIT, etc.) to ensure high quality regulatory report data and automate validation tasks Manage data quality issues operationally by conducting root cause/deep dive analyses and partnering with data providers to remediate defects Identify areas for data quality improvement and support resolution through appropriate error detection, correction, process controls, and process design or redesign strategies Perform data mining, data cleansing, reconciliation, and data maintenance activities with stakeholders for the regulatory reporting function Develop and apply subject matter expertise on regulatory reporting assets, policies, procedures, and guidelines Conduct data lifecycle analysis including data profiling, requirements gathering and documentation, data mappings, process and data design flows, data quality controls input, creation of automated business rules, and testing assistance Participate in defining data concepts and common reference data while establishing sound data usage practices across relevant partners Ensure data quality and fitness for purpose of the organization's regulatory reporting data assets, including working with Technology teams to store the metadata for those data assets Develop and maintain Standard Operating Procedures (SOPs), update and manage data dictionaries and other related data in Collibra, and ensure adherence to data governance standards Define, document, and manage business and data requirements and data mappings, collaborating cross vertically and globally with key stakeholders to support MIS' strategy and activities About the Team Our Regulatory Reporting - Data Quality team is responsible for upholding the highest standards of data accuracy, consistency, completeness, and reliability to ensure that Moody's Ratings data is proactively managed and delivered in our regulatory reports and feeds. By joining our team, you will be part of exciting work in Ratings & Operations Regulatory Reporting in Bengaluru, where we are increasingly leveraging AI enabled tools and responsible automation practices to enhance data quality, streamline validation workflows, and support continuous improvement across regulatory reporting functions. As part of the Global Ratings Operations & Controls (ROC) organization, our teams collaborate across business units that continue to adopt AI powered solutions to improve operational efficiency and strengthen governance. We actively explore AI capabilities to support scalable data management, strengthen quality oversight, and advance our commitment to responsible and ethical AI use across the lifecycle of regulatory data. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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 Deep understanding of the insurance market across the UK and Continental Europe, including brokers, insurers, and reinsurers Established London market network with perspective of unique market drivers and trends Proven ability to build and maintain relationships with senior stakeholders (CUOs, CROs, COOs) Strong collaboration skills across sales, product, and marketing functions Excellent communication and presentation skills, with the ability to engage senior audiences Strategic thinker with a track record of identifying and executing growth opportunities Experience in thought leadership through publications and speaking engagements Fluency in English; additional European languages are advantageous Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency, including awareness of responsible AI practices Education Undergraduate/first-level degree (e.g., Bachelor's degree) required Graduate/second-level degree preferred (e.g., MBA, Master's, or Ph.D.) CII qualification or equivalent insurance certification preferred Responsibilities Expand Moody's presence by developing new client relationships and identifying growth opportunities Drive market engagement through collaboration with sales, product, and marketing teams Build a network of senior industry stakeholders and connect them with Moody's leadership Represent Moody's at key industry events and associations to enhance visibility. Source new business opportunities through strategic networking and market intelligence Share market feedback with product teams to inform development and innovation Support go-to-market strategies and coach colleagues on high-impact opportunities This position offers a dynamic work environment, requiring up to 50% travel to engage with clients face-to-face, while also providing the flexibility of hybrid working About the Team The Insurance Sales team drives the growth of Moody's Analytics by delivering integrated, high-impact solutions that support insurers across underwriting, pricing, reserving, capital management, and risk analytics. The Casualty WFS team plays a critical role within the Insurance segment, partnering closely with Product, Strategy, and Delivery teams to bring the full strength of Moody's expertise to insurance clients across Europe. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
10/05/2026
Full time
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 Deep understanding of the insurance market across the UK and Continental Europe, including brokers, insurers, and reinsurers Established London market network with perspective of unique market drivers and trends Proven ability to build and maintain relationships with senior stakeholders (CUOs, CROs, COOs) Strong collaboration skills across sales, product, and marketing functions Excellent communication and presentation skills, with the ability to engage senior audiences Strategic thinker with a track record of identifying and executing growth opportunities Experience in thought leadership through publications and speaking engagements Fluency in English; additional European languages are advantageous Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency, including awareness of responsible AI practices Education Undergraduate/first-level degree (e.g., Bachelor's degree) required Graduate/second-level degree preferred (e.g., MBA, Master's, or Ph.D.) CII qualification or equivalent insurance certification preferred Responsibilities Expand Moody's presence by developing new client relationships and identifying growth opportunities Drive market engagement through collaboration with sales, product, and marketing teams Build a network of senior industry stakeholders and connect them with Moody's leadership Represent Moody's at key industry events and associations to enhance visibility. Source new business opportunities through strategic networking and market intelligence Share market feedback with product teams to inform development and innovation Support go-to-market strategies and coach colleagues on high-impact opportunities This position offers a dynamic work environment, requiring up to 50% travel to engage with clients face-to-face, while also providing the flexibility of hybrid working About the Team The Insurance Sales team drives the growth of Moody's Analytics by delivering integrated, high-impact solutions that support insurers across underwriting, pricing, reserving, capital management, and risk analytics. The Casualty WFS team plays a critical role within the Insurance segment, partnering closely with Product, Strategy, and Delivery teams to bring the full strength of Moody's expertise to insurance clients across Europe. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.