ETF Data Specialist

TMX

New York (NY)

On-site

USD 80,000 - 90,000

Full time

14 days+
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Job summary

TMX is seeking an ETF Data Specialist to audit and optimize ETF data across VettaFi’s B2C platforms, partnering with product, engineering, and marketing to deliver accurate market information.

You will architect a unified ETF ontology, maintain data quality, and manage vendor relationships, ensuring timely, reliable data reaches investors.

Candidates should have 3+ years in asset management or fintech, strong SQL skills, experience with LLM prompting, and a finance or CS degree.

Qualifications

  • 3+ years in asset management or financial technology, with focus on product data ownership, data operations, or data product management.
  • Strong proficiency in SQL and hands-on experience with LLM prompting and evaluation techniques.
  • Bachelor’s degree in Finance, Economics, Computer Science, Data Analytics, or related quantitative field.
  • Bonus: existing relationships with major financial market data vendors and experience building taxonomy/ontology frameworks.

Responsibilities

  • Drive Data Intelligence & AI Accuracy: audit, fine-tune, and optimize LLM-generated classifications, descriptions, and data extractions.
  • Architect the ETF Ontology: develop and maintain a single source of truth for asset class categorization.
  • Ensure Uncompromising Quality: own data accuracy, completeness, and timeliness across all VettaFi properties.
  • Build Strategic Partnerships: collaborate with Product, Engineering, and Marketing to deliver data to investors.
  • Manage Vendor Relationships: liaise with market data vendors for seamless integration and data quality.
  • Define Success: establish KPIs and monitor system performance and precision.

Skills

SQL
LLM prompting
Data analysis
Collaborative communication
Vendor management

Education

Bachelor's degree in Finance, Economics, Computer Science, Data Analytics, or related quantitative field

Job description

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

Ready to be part of the action?

Please note that our company is not currently sponsoring work permit applications and the applicant must be authorized to work in the country where this position is located.

We are a small, nimble, and collaborative team. We are looking for a thinker / doer to fill our ETF Data Specialist role. Reporting into the Head of Digital Product, this role will be directly responsible for the ETF related data that appears on VettaFi’s B2C platform, which includes ETFdb.com, AdvisorPerspectives.com, and ETFStream.com.

What You’ll Do
  • Drive Data Intelligence & AI Accuracy: Serve as the crucial "human in the loop," auditing, fine-tuning, and optimizing LLM-generated classifications, descriptions, and data extractions.

  • Architect the ETF Ontology: Build, refine, and maintain a single source of truth—our unified ETF taxonomy and ontology—to set the standard for asset class categorization.

  • Ensure Uncompromising Quality: Own the end-to-end accuracy, completeness, and timeliness of market data across all VettaFi web properties.

  • Build Strategic Partnerships: Collaborate closely with Product, Engineering, and Marketing to ensure the right market data reaches the right investor at the exact right moment.

  • Manage Vendor Relationships: Serve as the primary liaison to key market data vendors, ensuring seamless integration, high data quality, and strong technical alignment.

  • Define Success: Establish and monitor clear data KPIs, continuously raising the bar for system performance, efficiency, and platform precision.

What We’re Looking For
  • The "Utility Player" Mindset: A proactive, highly organized problem solver who seamlessly pivots between high-level strategy and granular technical execution.

  • Market Data Savvy: Deep familiarity with the asset management landscape, ETF structures, and financial market data vendors.

  • Technical & Analytical Chops: Comfortable analyzing complex datasets using SQL and leveraging modern AI workflows (e.g., prompt engineering for LLMs).

  • Collaborative Communicator: Proven ability to translate technical data nuances into actionable insights for product managers, engineers, and executive stakeholders.

Qualifications
  • Experience: 3+ years in the asset management or financial technology industry, with a focus on product management, data product ownership, or data operations.

  • Technical Skills: Strong proficiency in SQL and hands-on competence with LLM prompting and evaluation techniques.

  • Education: Bachelor’s degree in Finance, Economics, Computer Science, Data Analytics, or a related quantitative field.

  • Bonus Points: Existing relationships with major financial market data vendors and direct experience building taxonomy/ontology frameworks.

Salary Range: $80,000K/year - $90,000K/year USD

Please note that the Salary Range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

In the market for…

Excitement - Explore emerging technology and innovation, as well as ventures and digital finance that shape the future of global markets! Experience the movement of the market while grounded in the stability of close to 200 years of success.

Connection - With site hubs in some of the world’s most multicultural cities, we leverage our size and structure to create rich connections and belonging while experiencing powerful global impact through our work.

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