Senior Product Manager, ETF Analytic and Data Solutions
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Key skills for this role
About the Role
TMX Group seeks a Senior Product Manager to lead the strategic evolution of ETF analytics and data solutions for the Canadian market. You will own the product roadmap, manage lifecycle from concept to launch, and engage with institutional clients.
Key Skills for This Role
Responsibilities
- Lead the long term roadmap for ETF analytics, focusing on liquidity metrics, basket composition data, and integration for the Canadian market
- Manage end to end product lifecycle from concept and regulatory filing to launch and post trade analysis
- Design product pricing, packaging, and distribution strategies for global redistributors and institutional clients
- Lead deep dive discovery sessions with clients to translate data pain points into product features
- Provide project, technical, and functional guidance across the division
- Partner with Legal, Compliance, Technology, and Sales teams to navigate the Canadian regulatory environment (CIRO)
Requirements
- Minimum 10 years of professional experience in Product Management, Portfolio Management, Quantitative Analysis or Strategy within financial services
- Deep understanding of the Canadian ETF ecosystem, including creation/redemption mechanics, tax structures, and listing requirements
- Proven experience engaging with institutional investors in Canada
- Advanced proficiency in SQL (Snowflake preferred) and Python (Pandas, NumPy)
- Experience with Business Intelligence tools (Tableau, Looker, or Amazon Quicksight)
- Familiarity with modern data stacks including AWS (S3, EMR) and dbt workflows
- University degree in Business Management, Finance, Data Science, Mathematics, or related quantitative field
Full Job Posting
Company Overview
- The TMX group includes leading global exchanges such as the Toronto Stock Exchange and Montreal Exchange.
- We are seeking a Senior Product Manager, ETF Analytic and Data Solutions with extensive expertise in the Canadian ETF landscape.
Key Responsibilities
- Lead the long term roadmap for ETF analytics, focusing on liquidity metrics, basket composition data, and integration specifically for the Canadian market.
- Exercise autonomy to make critical decisions directly impacting the ETF analytics portfolio.
- Manage the end to end product lifecycle, from initial concept and regulatory filing to launch and post trade analysis.
- Design product pricing, packaging, and distribution strategies for global redistributors and institutional clients.
- Identify 'white space' opportunities in the market data ecosystem.
- Lead deep dive discovery sessions with clients to translate complex data pain points into high value product features.
- Provide strong project, technical, and functional guidance across the immediate division.
- Partner closely with Legal, Compliance, Technology, and Sales teams to navigate the Canadian regulatory environment (CIRO).
Skills & Qualifications
- Minimum of 10 years of professional experience in Product Management, Portfolio Management, Quantitative Analysis or Strategy within financial services.
- Deep understanding of the Canadian ETF ecosystem, including creation/redemption mechanics, tax structures, and listing requirements.
- Strong understanding of the Investment Management value chain and how advisors consume portfolio analytics.
- Proven experience engaging with institutional investors in Canada.
- Demonstrated ability to scale financial products or platforms through strategic positioning and partnership.
- University degree in Business Management, Finance, Data Science, Mathematics, or a related quantitative field.
Technical Expertise
- Advanced proficiency in SQL (Snowflake preferred) and Python (Pandas, NumPy) for rapid data prototyping.
- Experience with Business Intelligence tools (Tableau, Looker, or Amazon Quicksight) to turn 'stale data' into actionable dashboards.
- Familiarity with modern data stacks including AWS (S3, EMR) and dbt workflows.
- Strong grasp of market microstructure and trading technology; familiarity with Bloomberg, FactSet, or internal exchange proprietary systems.
Nice to Haves
- Experience with cloud native machine learning stacks.
- Demonstrated proficiency in leveraging Generative AI and prompt engineering.
- Knowledge of emerging trends like Tokenized Real World Assets (RWAs) and Agentic AI in finance.
- Working towards CFA designation or any relevant industry certificates.
Workplace
- This role is hybrid (3 days/week in the office) based in Toronto, ON.
Salary Range
- CAD 140,000/year CAD 160,000/year CAD.
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