At a Glance
- Tasks: Deliver high-quality data solutions and support in a fast-paced, client-facing environment.
- Company: Join Moody's, a global leader in risk assessment and data solutions.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on operational excellence and data governance.
- Why this job: Make an impact by transforming how the world sees risk with innovative data practices.
- Qualifications: Strong skills in SQL and Python, with a passion for data quality and AI.
The predicted salary is between 60000 - 80000 € per year.
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 technical expertise in SQL and Python for data analysis, validation, and remediation, enabling accurate and scalable data operations.
- Proven experience in data quality management and remediation processes, ensuring completeness, consistency, and reliability of large datasets.
- Ability to operate in fast-paced, client‑facing environments, managing competing priorities and delivering against tight deadlines and service level agreements.
- Experience coordinating cross‑functional stakeholders and contractor resources to maintain operational continuity and quality output.
- Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred).
- Strong analytical and problem‑solving skills with the ability to communicate clearly to both technical and non‑technical stakeholders.
- 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 in Computer Science, Information Systems, Data Engineering, or a related field.
Responsibilities
- Deliver high‑quality data remediation and operations support, ensuring accurate, timely, and scalable data solutions in a client‑facing environment.
- Act as a primary point of contact for data remediation issues, triaging, prioritizing, and resolving critical client‑facing data incidents.
- Execute remediation activities using SQL and Python to analyze, validate, and improve data quality across multiple datasets.
- Monitor and enhance data quality by ensuring accuracy, completeness, and consistency through structured processes and controls.
- Execute data workflows, pipelines, and integration processes to support efficient and reliable data operations.
- Identify and implement opportunities for automation and process improvements to enhance operational efficiency.
- Coordinate contractor resources, including task allocation, onboarding support, and quality oversight to ensure consistent delivery.
- Track remediation activities, maintain documentation, and monitor progress against timelines, service levels, and operational targets.
- Produce operational reporting on volumes, trends, risks, and performance metrics to support decision‑making.
- Collaborate with cross‑functional teams to address root causes, improve remediation playbooks, and align with data strategy objectives.
- Escalate complex or high‑risk issues with structured insights and recommendations to support timely resolution.
About the Team
Our Data Estate team is responsible for delivering high‑quality, trusted commercial data products to clients globally. The team contributes to Moody’s by providing comprehensive and reliable data solutions that support critical business decisions, while driving data quality and operational excellence through scalable remediation and governance practices. It also enhances the accessibility and usability of data through efficient processing, integration, and analytics capabilities. By joining the team, you will be part of a fast‑paced, client‑focused environment, working on one of the world’s leading company data platforms.
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.
Assistant Director - Data Specialist in Salford employer: Moody's Investors Service
At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is empowered to contribute their unique perspectives. As a global leader in risk assessment, we offer exceptional opportunities for professional growth and development, particularly in the rapidly evolving field of data analytics and AI. Our commitment to operational excellence and client satisfaction ensures that you will be part of a dynamic team dedicated to transforming challenges into opportunities, all while enjoying the benefits of a supportive culture that values integrity and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Director - Data Specialist in Salford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on SQL and Python. We should be ready to showcase our technical skills with real examples. Practising common data-related questions can help us feel more confident.
✨Tip Number 3
Show off our curiosity about AI! Moody's values innovative thinking, so let's come prepared with ideas on how we can use AI tools to improve processes. This will demonstrate our enthusiasm and fit for the role.
✨Tip Number 4
Don’t hesitate to apply through our website, even if we don’t meet every requirement. Moody's encourages diverse candidates, and we might just be the perfect fit they didn’t know they were looking for!
We think you need these skills to ace Assistant Director - Data Specialist in Salford
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data! Share specific examples of how you've used SQL and Python in your previous roles. This will help us understand your technical expertise and how you can contribute to our team.
Tailor Your Application:Make sure to customise your application to highlight the skills and experiences that align with the job description. We want to see how your background fits with our values and the responsibilities of the Assistant Director - Data Specialist role.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to communicate your experiences and achievements. This will make it easier for us to see your qualifications and how you can add value to our team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Moody's Investors Service
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially for data analysis and quality management. Highlight specific examples where your technical expertise made a difference.
✨Showcase Your Problem-Solving Skills
Prepare to share instances where you've tackled complex data issues. Think about how you identified problems, the steps you took to resolve them, and the outcomes. This will demonstrate your analytical abilities and how you can contribute to maintaining high data quality.
✨Understand the Company’s Values
Familiarise yourself with Moody's values and be ready to discuss how you embody them. Whether it's investing in relationships or leading with curiosity, showing that you align with their culture can set you apart from other candidates.
✨Be Ready to Discuss AI Concepts
Since the role involves understanding AI, brush up on basic AI concepts and think about how they relate to data operations. Show your enthusiasm for learning and how you see AI improving processes. This will highlight your curiosity and willingness to grow in the field.
