Senior Financial Data Analyst (German/French Speaker)
- Location
- Vilnius, Vilnius
- Work model
- On-Site
- Level
- Senior
- Salary
- €26.7k/yr
About this role
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 Financial Accounting knowledge and the ability to analyze financial statements, including reviewing and adjusting issuer-reported data in line with relevant methodologies, is required Strong English and French or German language skills; additional European language capability would be an advantage Solid knowledge of Microsoft Excel, Word, and PowerPoint Strong organizational, communication (verbal and written), and interpersonal skills Highly organized, dependable, and able to manage multiple priorities, display initiative, and work independently in a demanding, fast-paced environment Ability to quickly transition as priorities change to meet demands Relevant work or internship experience in credit and/or financial analysis is desirable Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education Bachelor of Arts or Bachelor of Science degree required; specialization in Accounting, Finance, or Economics highly desirable Responsibilities The Senior Financial Data Analyst contributes to the financial analysis component of the rating process for Financial Institutions, applying accounting and finance expertise to deliver accurate, consistent, and timely financial data in support of Moody's rating methodology requirements. Support analysts by delivering accurate, timely, and consistent financial data in line with Moody's methodologies for various financial institutions, including banks, financial companies, securities firms, asset managers, and insurers Review and understand financial statements, official statements, and other documents related to issuers' performance in collaboration with analysts and accounting specialists Apply accounting and finance knowledge and judgment to perform financial statement analysis, adjust issuer-reported data per relevant methodology requirements, and review and analyze ratios Create documentation and provide guidance to support analysts and outsourcers Review, adjust, and publish data to be used by analytical teams and external market participants Contribute to and lead senior technology projects, accounting changes, analytic reviews, methodology updates, and the implementation of process improvements About the Team The Analytic Data Operations team is a diverse, global function consisting of Financial Data Analysts supporting Banking, Insurance, Corporate Finance, Sovereign, Public Finance, and Structured Finance lines of business. With team members located in Vilnius, London, New York, Costa Rica, Hong Kong, Bangalore, and Tokyo, the team provides critical analytical data support to rating analysts across EMEA, the Americas, and Asia Pacific. By joining