Moody's Investors Service

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. As a Quantitative Financial Analyst - Development Validation, you will ensure the accuracy and quality of financial analytics produced by our asset liability management product. You will serve as the critical bridge between financial theory and implementation, validating that our systems produce correct results aligned with research and industry standards. You will work in a dynamic international environment, collaborating with teams and clients across different countries and time zones. Primary Responsibilities Review financial analytics requirements and collaborate with Engineering, Product Management and Research to design comprehensive testing strategies Develop independent financial model prototypes and benchmarks using Python, R or MATLAB to validate production implementations Create detailed test cases covering edge cases, stress scenarios, and regulatory requirements Analyze discrepancies between expected and actual results, investigating root causes and working with developers to resolve issues Offer constructive, results-based input to product and engineering teams to support the optimization of financial models Execute and maintain regression test suites to ensure continued accuracy across releases Skills and competencies 3 to 5 years of experience in a similar role (model validation, quantitative analysis, or financial model development) Master's degree in Financial Engineering, Quantitative Finance, Accounting, Mathematics, Statistics, or closely-related field Good understanding of Financial Risk Models, Fixed Income analysis or Balance Sheet Management Strong analytical skills with a rigorous, quantitative approach to problem-solving Ability to read and implement financial models from technical specifications Proficiency in Excel, knowledge of Python or R or MATLAB Fluency in English, with strong written and verbal communication skills, is a mandatory requirement. Additional desirable skills Experience with testing frameworks and automation is a plus Programming skills in C++, C# or Java sufficient to understand production code would be a plus Detail-oriented with persistence in identifying and resolving subtle numerical issues Excellent written and verbal communication skills to document findings and explain complex concepts Basic understanding of AI/ML concepts and curiosity about how AI can enhance validation processes Ability to work independently on multiple validation projects while collaborating effectively with cross-functional teams Demonstrated creativity, flexibility, and commitment to continuous learning 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.

A leading financial services provider in Edinburgh is searching for a Quantitative Financial Analyst - Development Validation to ensure the accuracy and quality of financial analytics. This role involves validating systems against industry standards, collaborating with teams internationally, and utilizing tools like Python and R. Candidates should have a Master's degree and 3 to 5 years of experience in model validation or quantitative analysis. The position promises a dynamic working environment focused on innovative risk assessment.

Skills and Competencies Minimum 8 years' relevant experience in Financial Planning & Analysis, Workforce Planning, People Reporting, or Product Management, with a proven track record of delivering insights and driving strategic outcomes in complex environments. Exceptional verbal and written English skills, with the ability to communicate complex financial concepts to senior executives and diverse stakeholder groups. Extensive exposure to multidimensional reporting applications (e.g., OneStream Quickview, Microsoft Fabric), with the ability to leverage advanced analytics for decision support. Highly detail-oriented, with a rigorous approach to data quality and the ability to synthesise and present findings to C-suite and senior leadership. Advanced proficiency in Microsoft Office (preferably Office 365), data transformation tools (Power Query), financial modelling, and related financial systems. Superior analytical, decision making, and problem solving skills, with experience leading cross functional projects and influencing business strategy. 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 Bachelor's degree preferred Responsibilities Act as the lead subject matter expert in compensation and consulting, driving Moody's Analytics financial planning and analysis activities. Build and maintain strong relationships with senior HR, Talent Acquisition, and MA Business Partners, supporting both strategic and operational initiatives and managing complex stakeholder expectations. Lead the analysis of monthly resourcing data, providing actionable insights and recommendations to senior stakeholders to inform workforce trends and resource allocation. Respond promptly to queries from HR, Talent Acquisition, and MA Business Partners, ensuring the provision of timely, relevant, and strategic financial information. Develop and oversee sophisticated resourcing projection models to support business objectives and future workforce planning, ensuring alignment with organisational strategy. Lead the MA budget and forecasting process, ensuring accuracy, transparency, and strategic alignment with business goals. Analyse and explain variances in monthly and quarterly Profit & Loss statements, providing expert commentary and recommendations to senior management. Lead and review high impact special projects as assigned by Senior Finance Management, driving innovation and continuous improvement. About the team The FP&A Resourcing Team is responsible for understanding the structure and composition of Moody's organisation, providing routine reports and insights for the business. The team contributes significantly to Moody's through: Providing a clear understanding of Moody's workforce, both current and future. Collaborating with business partners to identify and generate effective, actionable efficiency opportunities. Supporting projects aimed at enhancing the visibility and granularity of workforce data. By joining our team, you will be part of exciting work in FP&A, expanding our current team to support the Moody's Shared Services 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.

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 5+ years of experience working in banking or financial services industries Prior experience in client-facing role required, including Customer Success Manager, Consultant, Banking Relationship Manager, Bank Lender or Sales Specialist position Understanding of Banking industry e.g. regulation, origination and risk practices (Credit Modelling & Assessment, Credit Portfolio Management (Risk and CPM), Stress Testing and Impairments Modelling and Governance, Regulatory requirements (Basel CRD IV/V, Solvency 2, IFRS 9, ECB and EBA guidelines) highly desirable Ability to build relationships at all levels with clients/prospects and the internal organisation Demonstrate ability to work in a collaborative team environment and work independently when needed Have a good understanding of product-related requirements, analysis, methodologies and software industry Excellent written & verbal communication skills and presentation skills Self-starter willing to roll up sleeves to create required content or make necessary viable customised offerings for customers Position normally requires approximately 20% travel in Europe and Africa for client meetings Additional language skills desirable (French) 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 Undergraduate (e.g., Bachelor's degree) required, Graduate/second-level degree preferred Responsibilities This role requires a strong understanding of bank workflows and use cases including lending, regulatory and/or risk practices, as well as compliance and data insights. It is expected that this person will have the ability to establish a customer journey roadmap that clearly articulates near-term and long-term customer needs from the customer's perspective, including clear ROI benefits. A successful candidate will define customer engagement strategies by relating their industry and product knowledge to the customers' critical priorities, and be able to communicate the value of our offering through demos and solution discussions. Customer Knowledge Gather information on customer use of Moody's solutions including Risk & Finance, Lending and Regulatory solutions as well as KYC and Data solutions and communicate to internal partners (product, research, sales, advisory services and client support) to build engagement strategy Proactively and effectively conduct discovery and understand the client's objectives and priorities Anticipate customer needs by offering new insights and ongoing engagement with direction Identify best practices around solution application to solve customer problems based on jobs to be done (different user needs) Develop and manage engagement plan to deepen interactions with each customer, resulting in stronger use of our products Partner with Sales to proactively manage client engagement to drive account loyalty including, maintaining health scores to reflect risk assessments and forecast full year churn rates Learn and share industry best practices with stakeholder groups Solution Communication, Feedback & Relationship Management Partner closely with an internal stakeholder team across Sales and the business domain to support the customer journey across user adoption and executive engagement Strong communicator who can translate business needs and demonstrate solution value Channel customer feedback to Moody's development teams Partner with Product and Research to communicate new product developments to customers Marketing Collateral and Events Coordinate development of case studies, success stories and other collateral to highlight the benefits of our solutions externally and internally Lead preparation and delivery of summits, user groups and webinars Advocate for customer community-building events About the team Customer Success Management is critical to our short-term and long-term profitability as an organisation. We are successful when our clients realise continued value from our solutions and services. Customer Success Managers will measure achievement by increased customer adoption, reduced client turnover and meaningful customer engagement, including expanded organisational relationships. The candidate will be able to understand the customer needs and relate them to our capabilities, identify new use cases and ensure clients obtain maximum value from our solutions. They should also be able to navigate customer organisational challenges to build support as well as to mobilise Moody's resources to address client needs in a coordinated way, as required. Through customer partnerships the Customer Success Manager will develop client references and source marketing content, organise client events and lead other community-building (customer) events. They will serve as the voice of the customer in development roadmap discussions and as a channel to the customer base for product communications. In the Banking group, we help financial institutions make important decisions about their business, particularly when they are providing loans, managing risk, or conducting financial planning for the future of their institution. We do this with our innovative software and reliable analytics, helping them understand how to do their job better through training, learning solutions and advisory services. We are a dedicated team of experts in technology and financial analytics who understand what our clients need. 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 7 to 10 years of experience leading complex, cross functional projects as a Delivery Manager/Scrum Master with successful outcomes using agile and lean principles Strong stakeholder management across complex stakeholder relationships Strong analytical and critical thinking skills for problem solving and change management Strong negotiation skills in de escalating interpersonal, inter team conflicts Strong interpersonal, written, and verbal communication skills A high level of initiative and a flexible approach; capable of handling competing demands, ambiguity, and changing priorities Strong organizational skills and self motivated with strong attention to detail and follow through Ability to work under pressure and handle critical situations with self awareness Advanced knowledge of Microsoft Tools (Excel, PowerPoint, Word) JIRA/Confluence experience is preferred Power BI or Agentic AI experience are positively considered Fluency in English is required, and other languages are positively considered Education Bachelor's degree or higher required Scrum Master certification required Responsibilities Lead complex, fast paced methodology and assessment framework global projects applying agile and lean principles. Coach project teams to foster collaborative, self organizing and accountable environments, and ensure agile and scrum principles are applied, as relevant Facilitate scrum ceremonies (backlog, sprint, planning, retrospective) and project meetings, manage project risks, motivate project teams to deliver high quality work on time Understand customer needs, manage stakeholder and effective cross functional communication Act as a servant leader facilitating collaboration, timely decision making, conflict resolution, and delegation Conduct regular project risk analysis, measure against plan and scope, and support work break down into epics, user stories; support acceptance criteria for optimal outcomes Support planning, scheduling and oversee project coordination Report project progress leveraging JIRA; manage periodic project portfolio reporting Adaptability is essential to handle changing project requirements and ensure continuity About the Team MMDG is responsible for the development and maintenance of Moody's Ratings credit rating methodologies and assessment frameworks. MMDG also provides and maintains credit rating quantitative tools (CRQTs), including models, scorecards and other related analytical tools used in the rating process. Our credit rating methodologies comprise quantitative and qualitative factors and go through rigorous research, constructive challenge, testing, verification and review before they are finalized. The development of this critical intellectual capital draws upon varied expertise in CSS, R&R, Technology and other functions. Teams within MMDG lead different parts of the end to end methodology and framework development and publication process, as well as the CRQT development and verification process. The Methodology Delivery Team is a team within MMDG that is responsible for delivering successful outcomes for methodology projects according to plan and scope. The team is also responsible for supporting the Methodology Analytics Team and project working groups for agile coaching and training, meeting facilitation, risk assessments, sprint ceremonies execution and planning, and consistent application of agile and lean principles across projects. 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 Strong understanding of asset management market dynamics and client ecosystems. Proven ability to build and maintain senior-level client relationships. Excellent communication skills, both written and verbal, with the ability to engage executive audiences. Strategic thinker with the ability to identify and evaluate growth opportunities. Experience in thought leadership through publications and speaking engagements. Ability to collaborate cross-functionally with sales, product, and marketing teams. Fluency in English is essential; additional European languages such as French or German are beneficial. 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. 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 Undergraduate/first-level degree (e.g., Bachelor's degree) required. Graduate/second-level degree preferred (e.g., MBA, Master's, or Ph.D.). A Moody's employee at this level typically has 12+ years of industry experience within asset management. Responsibilities Develop and execute strategies to expand Moody's presence across Europe and Africa. Utilise an expansive personal network within the asset management sector to foster strategic relationships and drive the integration of Moody's solutions, thereby enhancing its market presence and influence. Build and nurture relationships with traditional and alternative asset managers, and investment consultants. Engage senior stakeholders (CIOs, COOs, CTOs, CDOs, CROs) and connect them with Moody's leadership. Drive market engagement through events, PR, and thought leadership initiatives. Collaborate with internal teams to align product offerings with market needs. Identify and pursue new business opportunities through networking and market intelligence. Support go-to-market strategies and coach colleagues on strategic opportunities. About the Team You will be joining a dynamic and collaborative team focused on driving Moody's growth in the asset management sector across Europe and Africa. The team works closely with sales, product, and marketing functions to deliver impactful client engagement strategies. With a strong emphasis on innovation, thought leadership, and relationship-building, this team plays a critical role in shaping Moody's market presence and long-term success. 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.