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# 1128399100The recruiting efforts for this position are intended to fill an existing vacancy for a new position.ResponsibilitiesAnalyze 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-makingRequirementsBachelor'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 haveFamiliarity 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 frameworksWe offerExtended 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 DisabilityPaid Time Off (including vacation and sick days)Registered Retirement Savings Plan (RRSP) with Company matchMaternity/Parental/Adoption Leave Top-upEmployee Stock Purchase ProgramCritical Illness InsuranceEmployee DiscountsUnlimited access to LinkedIn learning solutionsEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative,



and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAMThis posting includes a base salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$125,000 - CA$140,000. In addition, the details highlighted in this job posting above are a general description of all other expected perks and compensation for the position.EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies. EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy. Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.
#J-18808-Ljbffr

📌 Senior Data Modeler/Analyst (Toronto)
🏢 EPAM Systems
📍 Toronto