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 innovation.
- Why this job: Make an impact by transforming data into actionable insights with cutting-edge technology.
- 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: Moody
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 in Manchester, you will benefit from a collaborative environment that encourages professional growth through continuous learning and diverse perspectives. With a focus on operational excellence and cutting-edge technology, you'll have the opportunity to make a meaningful impact while enjoying competitive benefits and a commitment to work-life balance.
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 employees at Moody's on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Assistant Director - Data Specialist role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, especially in data quality management and remediation processes.
✨Tip Number 3
Show your curiosity! During interviews, express your enthusiasm for AI and how you see it improving data processes. This aligns with Moody's values and shows you're a forward-thinker.
✨Tip Number 4
Don't hesitate to apply through our website, even if you don't meet every single requirement. We value diverse perspectives and you might just be the perfect fit for the team!
We think you need these skills to ace Assistant Director - Data Specialist
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical expertise in SQL and Python right from the get-go. We want to see how you can use these skills to tackle data challenges, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific experiences that align with the responsibilities listed, especially around data quality management and client-facing environments.
Be Yourself:We value authenticity! Don’t be afraid to let your personality shine through in your application. Share your enthusiasm for AI and how you’ve used it in past projects—this could set you apart!
Apply Through Our Website:Remember, the best way to apply is through our website. It’s straightforward and ensures your application gets to the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Moody
✨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 your knack for turning challenges into opportunities.
✨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 championing diverse perspectives, showing that you align with their culture can set you apart from other candidates.
✨Be Curious About AI
Since the role involves understanding AI concepts, express your enthusiasm for learning about AI tools and their applications in data processes. Share any relevant experiences or projects where you've explored AI, even if it's just a basic understanding—curiosity goes a long way!
