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Fraud Data Analyst
LinkedIn Recruiter Post
Hiring a Fraud Data Analyst for a 12 - month contract in Toronto, ON. Requires 5+ years in data/analytics with fraud, AML, and threat detection experience.
About the role
- Senior Data Modeler transforming how credit and lending data is structured and governed. Collaborating with technical and business partners to influence enterprise-scale data models.
Responsibilities
- Design, build, and maintain logical and physical data models across credit and lending domains, including customers, accounts, loans, balances, collateral, and payment structures
- Convert business requirements into scalable architectures using dimensional, domain‑driven, and normalized modeling techniques
- Partner with data engineers, analysts, and business SMEs to standardize definitions and ensure alignment with governance frameworks
- Develop documentation including mappings, data dictionaries, and lineage artifacts
- Optimize data models to support dashboards, regulatory reporting, analytics, and downstream consumption
- Support the integration of new or evolving credit products such as mortgages, credit cards, secured lending, and revolving products
- Validate model performance, scalability, and usability within Snowflake environments
- Contribute to medallion‑layered architecture (bronze/silver/gold), ensuring traceability from source systems through curated layers
Requirements
- 5+ years in enterprise data modeling, ideally within financial services, banking, or lending
- Strong understanding of credit and lending concepts (interest, balances, payments, loan lifecycle, customer/account relationships)
- Hands‑on experience with ERwin Data Modeler (required)
- Strong experience with dimensional modeling, 3NF, and/or data vault
- Ability to interpret and reconcile complex financial data definitions across systems
- Experience working with Snowflake, AWS, or other cloud data platforms
- Strong collaboration and communication skills, with a disciplined documentation style
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field
Benefits
- Medical, dental, vision, free tele‑health, HSA with company contribution
- Life and disability insurance
- 401k with matching
- Paid Time Off
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