Senior Data Modeler/Analyst

One of our Financial Services clients is building a world-class data organization that leverages artificial intelligence and modern cloud-native architectures to transform how capital markets professionals access and consume data. We are seeking a Senior Business Analyst to support the design and delivery of enterprise-grade data solutions across a cloud-based data platform. In this role, you will partner with business stakeholders, data architects, and engineering teams to drive requirements, improve data quality, and help establish scalable data models supporting multiple asset classes and front-office functions.

Work Model: Hybrid - office attendance required 4 days per week (Monday-Thursday); remote work available on Fridays. Req# 1128399100 Responsibilities Analyze cross-asset data from internal and external sources to understand data lineage, relationships, and data quality gaps Gather, document, and manage business and technical requirements Decompose complex initiatives into clear functional and technical requirements Support the design and implementation of scalable data models and standardized data structures Perform data gap analysis and identify quality issues early in project lifecycles Collaborate with upstream teams to define data contracts and drive remediation efforts Partner with business and engineering teams to resolve data and integration challenges Leverage AI tools for data exploration, profiling, mapping, and model prototyping Support rapid proof-of-concepts using cloud-based data platforms Contribute to data strategy and architectural decision-making Requirements Bachelor's degree in Computer Science, Software Engineering, Information Systems, Mathematics, or a related field 5+ years of IT experience Proven experience as a Business Analyst in data-intensive environments 2+ years of experience supporting data architecture, data modeling, or data strategy initiatives 1+ year of experience in capital markets with exposure to multiple asset classes (equities, fixed income, derivatives, FX, commodities) Strong understanding of trading workflows, trade lifecycle processes, and market data structures Experience with FIX (Financial Information Exchange) protocol Strong API and integration experience Advanced SQL and Python skills for data analysis, profiling, and transformation Understanding of ETL/ELT processes, data pipelines, and real-time data integration Experience working with cloud-based data lake or lakehouse environments Practical experience using AI tools to enhance data analysis, modeling, and requirements gathering Excellent communication and stakeholder management skills Nice to have Familiarity with data from major financial ISVs and market data providers Experience applying AI/ML techniques for data analysis, data quality assessment, or automated model generation Hands-on experience using generative AI tools such as GitHub Copilot or similar solutions Experience with AWS, Azure, or Google Cloud platforms Knowledge of data governance and data quality frameworks Canada (Full-Time) Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid) Life and AD&D Insurance (Company Paid) Employee Assistance Program (Company Paid) Telehealth (Company Paid) Short-term Disability (Company Paid) Long-Term Disability Paid Time Off (including vacation and sick days) Registered Retirement Savings Plan (RRSP) with Company match Maternity/Parental/Adoption Leave Top-up Employee Stock Purchase Program Critical Illness Insurance Employee Discounts Unlimited access to LinkedIn learning solutions