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, career growth opportunities, and the chance to work with cutting-edge AI technology.
- Other info: Be part of a dynamic team focused on operational excellence and innovative data practices.
- Why this job: Make a real impact by transforming data into actionable insights for clients worldwide.
- 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 employer: PowerToFly
At Moody's, we pride ourselves on fostering an inclusive and innovative work culture that empowers our employees to thrive. As an Assistant Director - Data Specialist, you will benefit from a collaborative environment that encourages professional growth through continuous learning and exposure to cutting-edge AI technologies. Located in a dynamic global setting, we offer competitive benefits and the opportunity to make a meaningful impact by transforming how the world perceives risk.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Director - Data Specialist
✨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 diving deep into Moody's values and mission. We should be ready to discuss how our skills align with their focus on data quality and client satisfaction. Show them we’re not just a fit on paper!
✨Tip Number 3
Practice makes perfect! Let’s do mock interviews with friends or use online platforms. This helps us articulate our experience with SQL, Python, and data management clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re genuinely interested in being part of the Moody's team.
We think you need these skills to ace Assistant Director - Data Specialist
Some tips for your application 🫡
Show Your Passion for Data:When you write your application, let your enthusiasm for data shine through! Talk about your experiences with SQL and Python, and how you've used them to tackle real-world problems. We love candidates who are excited about turning data into actionable insights.
Tailor Your Application:Make sure to customise your application to highlight the skills and experiences that align with the job description. Mention your experience in data quality management and any relevant projects you've worked on. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your technical expertise and problem-solving skills. We appreciate candidates who can communicate complex ideas simply, especially when it comes to data!
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 ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Moody's!
How to prepare for a job interview at PowerToFly
✨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. This will show that you can hit the ground running!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or complex datasets in previous roles. Highlight your analytical thinking and how you communicated solutions to both technical and non-technical stakeholders. This will demonstrate your ability to navigate challenges effectively.
✨Understand AI Concepts
Familiarise yourself with basic AI concepts and be ready to discuss how they can improve data processes. Show your enthusiasm for learning about AI tools and responsible practices, as this aligns with Moody's focus on innovation and ethical use of technology.
✨Emphasise Team Collaboration
Since the role involves coordinating with cross-functional teams, think of examples where you've successfully collaborated with others. Discuss how you managed competing priorities and ensured quality output, which will highlight your ability to work in a fast-paced environment.
