Finance Data Modeler

We are seeking an experienced Finance Data Modeler to join our dynamic team. This role is crucial for designing, developing, and maintaining robust data models that support our financial data initiatives. The ideal candidate will possess extensive experience in data modeling for finance, ensuring data integrity, accessibility, and performance.

As a Finance Data Modeler, you will play a pivotal role in transforming complex financial requirements into intuitive and efficient data structures, supporting critical business decisions and strategic objectives within the finance domain. This remote position requires support for the PST time zone.

Key Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models for financial systems.
• Collaborate with finance stakeholders and data architects to understand business requirements and translate them into data solutions.
• Ensure data model designs are optimized for performance, scalability, and data integrity.
• Document data models, data flows, and data dictionaries to maintain comprehensive data governance.
• Participate in data quality initiatives, identifying and resolving data discrepancies.
• Provide technical guidance and support for data-related projects and initiatives.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Finance, or a related field.
• Minimum of 12 years of progressive experience in data modeling, specifically within the finance sector.
• Proficiency with data modeling tools such as ER/Studio, ERwin, PowerDesigner, Visio, or Lucidchart.
• Strong understanding of financial concepts, data structures, and reporting needs.
• Excellent analytical and problem-solving skills with attention to detail.
• Ability to work independently and collaboratively in a remote team environment.

What We Offer

• Opportunity to work on challenging and impactful financial data projects.
• Flexible remote work environment.
• Exposure to cutting-edge data modeling technologies.
• Collaborative and supportive team culture.