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- Tasks: Maintain and enhance M&A historical database while ensuring data quality.
- Company: Global financial analytics firm based in the UK.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with cutting-edge data analytics in finance.
- Qualifications: Fluency in English and Arabic, strong organisational skills, and a passion for AI.
- Other info: Non-customer facing role focused on data integrity and accuracy.
The predicted salary is between 36000 - 60000 £ per year.
A global financial analytics firm located in the UK is looking for a professional to maintain and enhance their M&A historical database. The role requires fluency in both English and Arabic, as well as strong organisational and problem-solving skills.
Responsibilities include:
- Entering real-time news
- Conducting research
- Ensuring quality in data processes
Ideal candidates will have a foundational understanding of AI concepts and be eager to learn more about their applications. This position is not customer-facing, focusing instead on data integrity and accuracy.
M&A Data Specialist — Research & Data Quality in Salford employer: Moody's Corporation
Contact Detail:
Moody's Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land M&A Data Specialist — Research & Data Quality in Salford
✨Tip Number 1
Network like a pro! Reach out to professionals in the M&A field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data quality projects or any relevant research you've done. This will help us see your practical experience and problem-solving abilities in action.
✨Tip Number 3
Prepare for interviews by brushing up on AI concepts and how they relate to data integrity. We want to see your enthusiasm for learning and applying new technologies in the M&A space.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace M&A Data Specialist — Research & Data Quality in Salford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data management and research. We want to see how your skills align with maintaining and enhancing our M&A historical database.
Showcase Your Language Skills: Since fluency in both English and Arabic is key, don’t forget to mention your language proficiency clearly. We love seeing candidates who can communicate effectively in both languages!
Highlight Problem-Solving Abilities: In your application, give examples of how you've tackled challenges in data processes before. We’re looking for those strong organisational and problem-solving skills that will help us maintain data integrity.
Express Your Interest in AI: If you have any experience or interest in AI concepts, make sure to include that! We’re eager to find someone who’s not just qualified but also excited to learn more about AI applications in our field.
How to prepare for a job interview at Moody's Corporation
✨Know Your Data Inside Out
Make sure you’re familiar with the M&A historical database and the types of data it contains. Brush up on your knowledge of data integrity and quality processes, as well as any relevant AI concepts. This will show that you’re not just interested in the role but also understand its core responsibilities.
✨Showcase Your Language Skills
Since fluency in both English and Arabic is crucial, be prepared to demonstrate your language skills during the interview. You might be asked to discuss data-related topics in both languages, so practice articulating your thoughts clearly and confidently in both.
✨Highlight Your Organisational Skills
This role requires strong organisational abilities, so come ready to discuss how you manage your time and tasks. Share specific examples from your past experiences where you successfully maintained data accuracy or handled multiple projects simultaneously.
✨Be Ready to Problem-Solve
Expect to face some hypothetical scenarios related to data quality and research during the interview. Practice thinking on your feet and explaining your thought process clearly. This will demonstrate your problem-solving skills and your eagerness to tackle challenges head-on.
