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
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
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 lifecyclesCollaborate 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&DD 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
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 View email address on ca.hrm.tc if you have questions in this regard, or if you require an accommodation to complete the application process.
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.
EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.
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