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# 1128399100Responsibilities
Analyze cross-asset data from internal and external sources to understand data lineage, relationships, and data quality gapsGather, document, and manage business and technical requirementsDecompose complex initiatives into clear functional and technical requirementsSupport the design and implementation of scalable data models and standardized data structuresPerform data gap analysis and identify quality issues early in project lifecyclesCollaborate with upstream teams to define data contracts and drive remediation effortsPartner with business and engineering teams to resolve data and integration challengesLeverage AI tools for data exploration, profiling, mapping, and model prototypingSupport rapid proof-of-concepts using cloud-based data platformsContribute to data strategy and architectural decision-makingRequirements
Bachelor's degree in Computer Science, Software Engineering, Information Systems, Mathematics, or a related field5+ years of IT experienceProven experience as a Business Analyst in data-intensive environments2+ years of experience supporting data architecture, data modeling, or data strategy initiatives1+ 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 structuresExperience with FIX (Financial Information Exchange) protocolStrong API and integration experienceAdvanced SQL and Python skills for data analysis, profiling, and transformationUnderstanding of ETL/ELT processes, data pipelines, and real-time data integrationExperience working with cloud-based data lake or lakehouse environmentsPractical experience using AI tools to enhance data analysis, modeling, and requirements gatheringExcellent communication and stakeholder management skillsNice to have
Familiarity with data from major financial ISVs and market data providersExperience applying AI/ML techniques for data analysis, data quality assessment, or automated model generationHands-on experience using generative AI tools such as GitHub Copilot or similar solutionsExperience with AWS, Azure, or Google Cloud platformsKnowledge of data governance and data quality frameworks
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