Join our team as Data Modeler to design, develop, and maintain high-quality data models for leading financial institutions
Create conceptual and logical, and support in the creation of technical data models, ensuring alignment with business requirements, data governance standards, and enterprise architecture
Collaborate closely with business stakeholders, regulatory reporting teams, data architects, and IT delivery teams to ensure that data structures accurately reflect business concepts and support high-quality, auditable reporting
Requirements
Master’s degree in Computer Science, Information Systems, Finance, Data Management, or a related field
4+ years of experience in data modeling within the banking or financial services industry
Proven experience designing or supporting in the design of Enterprise Data Warehouse models
Demonstrated expertise in regulatory reporting, including AnaCredit, FINREP, COREP
Experience working on BCBS 239 or similar regulatory compliance initiatives
Good understanding of different Data Modeling Methodologies (Entity-Relationship (ER) modeling, Third Normal Form (3NF), Dimensional Modeling (Star/Snowflake), etc.)
Solid understanding of key banking domains
Proficiency with data modeling tools such as: Erwin, ER/Studio, PowerDesigner, etc.
Strong SQL skills and experience with relational databases
Understanding of ETL/ELT processes and data integration
Familiarity with data catalog and governance tools (e.g., Collibra, Alation, Informatica)
Excellent analytical and problem-solving skills
Strong communication and stakeholder management abilities
Ability to translate complex regulatory requirements into structured data models
High attention to detail and data accuracy
Capability to work effectively in cross-functional and international teams
Solution-oriented mindset
Eager to learn, you maintain positive attitude and resilience