Moody's Corporation
Data Specialist - German Language Data Research

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Data Specialist - German Language Data Research
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 reading comprehension in German and English is required, as the role involves researching, reviewing, and interpreting German-language company disclosures, regulatory filings, news articles, and transaction information
- Candidates should demonstrate advanced German reading proficiency (approximately CEFR B2–C1 level), enabling them to accurately understand and analyse business and financial information
- Strong research and analytical skills with the ability to gather, validate, and interpret information from multiple public and proprietary sources
- Excellent attention to detail and commitment to data accuracy when entering, maintaining, and updating large datasets
- Strong organizational and time-management skills, with the ability to prioritize workloads and meet productivity targets in a fast-paced environment
- Proficiency in Microsoft Office applications, particularly Excel, Outlook, and Word
- Experience working with financial, corporate, or business information databases is preferred
- 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Education
- Bachelor's degree or equivalent experience in Business, Finance, Economics, Data Management, Information Studies, or a related field preferred
- Relevant professional experience in research, data operations, financial services, or information management will be considered in lieu of a degree
Responsibilities
- Research, analyse, and maintain global mergers and acquisitions data, including German-language sources, to support the accuracy, timeliness, and quality of Moody's proprietary databases.
- Research and capture mergers and acquisitions transaction data from publicly available sources and news services
- Maintain and update real-time information within Moody's databases, ensuring data quality, completeness, and consistency
- Analyse transaction details including deal structure, participants, values, payment methods, dates, sources, and transaction status
- Prioritise and process large volumes of information while meeting established productivity and quality standards
- Conduct internet-based research to identify new sources, expand data coverage, and support enhancements to existing datasets
- Create, review, and maintain regional research documentation, methodologies, definitions, and operating procedures to promote consistency across teams
- Contribute to continuous improvement initiatives that enhance data collection processes, operational efficiency, and product quality
- Participate in peer review and quality control activities to ensure the accuracy and integrity of published data
- Collaborate with colleagues and management on data projects, process improvements, and business priorities as required


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About The Team
Our Company Data team within Moody's Analytics Data Estate is responsible for collecting, validating, and maintaining high-quality business and transaction data that powers Moody's market-leading information solutions. The team contributes to Moody's by delivering trusted corporate and mergers & acquisitions data used by financial institutions, corporations, and investment professionals globally. By joining our team, you will contribute to the maintenance of one of the industry's most comprehensive sources of company and transaction intelligence while developing expertise in financial data research and analysis.
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.
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