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

We offer

• 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

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

EPAM 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 EPAM

This 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 benefits and compensation for the position.

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com 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.

Hybrid in Canada: Toronto