Time since we first saw it
Day 76
Similar jobs usually come down between day 4 and day 77.
At TMX Group, jobs usually come down by about day 61.
From 51 similar postings that came down, and 25 of TMX Group’s. Coming down is not always a hire.
New York - 225 Liberty Street
Live, first seen by us 76 days agoBonus 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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
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
Audit and fine-tune LLM-generated ETF classifications, descriptions and data extractions
Build and maintain the unified ETF taxonomy and ontology
Own accuracy, completeness and timeliness of market data across web properties
Serve as primary liaison to key market data vendors
Establish and monitor data KPIs for platform performance
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
Own the end-to-end accuracy, completeness, and timeliness of market data across all VettaFi web properties
Serve as the primary liaison to key market data vendors
Establish and monitor clear data KPIs
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 76
Similar jobs usually come down between day 4 and day 77.
At TMX Group, jobs usually come down by about day 61.
From 51 similar postings that came down, and 25 of TMX Group’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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.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.
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.
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.
Impact - More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy.
Wellness - From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived!
Growth - From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.
Ready to enrich your career with impactful work, leaders who truly care, and the flexibility and programs to help you thrive as part of #TeamTMX ? Apply now.
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
New York - 225 Liberty Street
Impact - More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy. Wellness - From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived! Growth - From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.
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
Ready to enrich your career with impactful work, leaders who truly care, and the flexibility and programs to help you thrive as part of #TeamTMX ? Apply now. 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. 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.