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About the Role

This role is directly responsible for the ETF related data that appears on VettaFi’s B2C platform, which includes ETFdb.com, AdvisorPerspectives.com, and ETFStream.com. You will serve as the crucial "human in the loop," auditing, fine-tuning, and optimizing LLM-generated classifications, descriptions, and data extractions. You will also build, refine, and maintain a unified ETF taxonomy and ontology to set the standard for asset class categorization.

Responsibilities

Serve as the crucial "human in the loop," auditing, fine-tuning, and optimizing LLM-generated classifications, descriptions, and data extractions.
Build, refine, and maintain a single source of truth—our unified ETF taxonomy and ontology—to set the standard for asset class categorization.
Own the end-to-end accuracy, completeness, and timeliness of market data across all VettaFi web properties.
Collaborate closely with Product, Engineering, and Marketing to ensure the right market data reaches the right investor at the exact right moment.
Serve as the primary liaison to key market data vendors, ensuring seamless integration, high data quality, and strong technical alignment.
Establish and monitor clear data KPIs, continuously raising the bar for system performance, efficiency, and platform precision.

Requirements

Proactive, highly organized problem solver who seamlessly pivots between high-level strategy and granular technical execution.
Deep familiarity with the asset management landscape, ETF structures, and financial market data vendors.
Comfortable analyzing complex datasets using SQL and leveraging modern AI workflows (e.g., prompt engineering for LLMs).
Proven ability to translate technical data nuances into actionable insights for product managers, engineers, and executive stakeholders.
3+ years in the asset management or financial technology industry, with a focus on product management, data product ownership, or data operations.
Strong proficiency in SQL and hands-on competence with LLM prompting and evaluation techniques.
Bachelor’s degree in Finance, Economics, Computer Science, Data Analytics, or a related quantitative field.
Existing relationships with major financial market data vendors.
Direct experience building taxonomy/ontology frameworks.

Skills

SQL
LLM prompting
Data analysis
Prompt engineering
Data extraction
Taxonomy frameworks
Ontology frameworks

Location

Remote
Hybrid

Work Type

Full-time

Experience Level

3+ years

Education Level

Bachelor's degree

Salary/Compensations

$80,000K/year - $90,000K/year USD

Benefits

Cloud-first workstyle
Hybrid workstyle
Generous time-off and leaves
Accommodations for applicants and employees who require it

About the Company

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.
TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate.

Equal Opportunity

TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.