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.
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.
The Data Estate division is the commercial data business of Moody’s Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Investors Service. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.
The Role
This role is responsible for gathering and summarising Mergers & Acquisitions information and updating our database, available online to subscribers. You will be assigned a geographical coverage or area of specialism where you will search and document information on data points related to each M&A deal, including but not limited to deal type, payment methods, deal values, deal participants, sources, dates and statuses. While the role may include specific projects or client queries assigned to you by your manager, this is not a customer facing role.
Responsibilities:
- Maintain and add real-time news into our M&A historical database via our internal software.
- With the help of an aggregated news service and via primary internet research you will download, research, prioritise and process all news articles relating to your area/specialism.
- Improve existing processes and procedures to enhance the speed and accuracy of our product.
- Expand existing data offering research on regional regulations and new sources of data.
- Create and update regional documentation, such as internal procedures, news collection methods, definitions, and download processes to ensure standardisation amongst research teams.
- Maintain productivity standards by efficient individual timekeeping and following research processes.
- Maintain quality standards by contributing to peer – to – peer checking procedures.
This role is based in Salford Quays. Full in-house training will be provided for the first 3 weeks. Please note, this will be in office training. Following the training period this role will offer hybrid working at our offices in Salford Quays.
Qualifications:
- Knowledge of Microsoft Office suite (word, outlook, excel etc)
- Good organisation, attention to detail, problem solving and verbal and written communications skills
- Ability to multi-task and adapt to shifting priorities
- Fluency in English and Spanish and/or Portuguese is required for this role
- Previous experience with corporate or financial databases is beneficial.
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.
