Job Title: Data Modeler

Location: Toronto, Canada | Hybrid

Duration: Long-Term Contract

Role Overview

We are looking for an experienced Data Modeler to support a Data Science and Analytics team working on AI, Machine Learning, Fraud Analytics, KYC, and data-driven initiatives.

The candidate will be responsible for data modeling, data analysis, data mapping, SQL development, data architecture, and solution design across complex banking and financial data environments.

Key Responsibilities
Design and maintain conceptual, logical, and physical data models.
Translate business requirements into scalable data models and structures.
Develop and maintain data mapping specifications across source and target systems.
Analyze data relationships, entities, attributes, and data flows.
Perform hands-on SQL-based data analysis and data validation.
Analyze production data to identify data quality issues and root causes.
Participate in data architecture and solution design discussions.
Define data transformation rules, business logic, and data lineage.
Prepare data specifications and pseudo-code for Development and QE teams.
Support Fraud, KYC, AI/ML, and analytics data initiatives.




Investigate production data issues and provide detailed root-cause analysis.
Collaborate with Business, Development, QE, Data Science, and Architecture teams.
Review test cases from a data and business-rule perspective.
Support technical change requests and stakeholder approvals.
Ensure data models align with enterprise data architecture, governance, and quality standards.

Required Skills
Solid experience in Data Modeling and Data Analysis.
Expertise in Conceptual, Logical, and Physical Data Modeling.
Strong SQL and hands-on data analysis experience.
Experience with Data Mapping, Data Lineage, and Data Relationships.
Robust understanding of relational databases and data structures.
Experience with Data Architecture and Solution Design.
Solid Banking / Financial Services / KYC domain knowledge.
Experience analyzing production data and data quality issues.
Ability to translate business requirements into data models and technical specifications.
Experience working with Development, QE, Business, Data Science, and Architecture teams.
Strong analytical and problem-solving skills.

📌 Data Modeler Toronto (Canada)
🏢 Confiar Services
📍 Canada