Data Modeling Expert for Credit Data
2 dagen geleden
Job Overview
The Data Modeling Expert for Credit Data will be responsible for developing and maintaining comprehensive data models, mapping credit data elements and flows to support lending decisions and regulatory compliance. This role requires strong analytical skills, attention to detail, and excellent communication skills.
About the Team
The Data Sourcing and Distribution team is part of the broader department named Credit & Collateral Data Management and Strategy which is responsible for data quality, data distribution, and data analytics within Financing Solutions. The team consists of data analysts and a data engineering team that work towards the delivery of the Credits Data Domain Store application. Together, we work on data projects and solutions that benefit various credit domain data consumers. We collaborate closely and help each other with data challenges, while always being eager to learn and develop ourselves.
Key Responsibilities
- Collaborate with business stakeholders to gather and analyze credit data requirements, ensuring alignment with lending strategies.
- Create and maintain comprehensive data models, mapping credit data attributes and flows to support lending decisions and regulatory compliance.
- Lead the design and optimization of data structures and databases for credit data storage and retrieval.
- Work closely with DevOps engineers to provide requirements for the build of the data platform, implement and validate data models, ensuring data accuracy and availability.
- Closely collaborate with the product owner and team to translate requirements into Product Backlog Items.
- Create and maintain documentation of data models, data lineage, and metadata for credit data.
- Serve as a subject matter expert in credit data sourcing, integration, distribution, and utilization within the business lending context.
Requirements
- Bachelor's degree in Computer Science, Data Science, Finance, Econometrics, or a related field. A Master's degree is preferred.
- Proven experience in conceptual, logical, and physical data modeling and business analysis, particularly within the banking sector and credit data domain.
- Proficiency in data modeling tools and techniques, including experience with data modeling software (such as Erwin and Enterprise Architect).
- Strong SQL skills for querying credit data.
- Familiarity with regulatory requirements related to credit data is a plus.
- A general understanding of IT topics through technical background or job experience.
Salary and Benefits
We are offering a competitive salary, based on a 36-hour workweek, with a grading in salary scale 10. Additionally, you will receive a personal development budget of €1,000 per year, flexible working hours, an annual public transport season ticket, and a great pension scheme at the best pension fund in the Netherlands.
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