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Added 1 month ago
GE
Business Analyst
GFL Environmental Inc.
Vaughan, ON
- Full-time
…improving efficiency, and increasing profitability by analyzing data, assessing processes, defining requirements, and facilitating communication among…
Added 1 month ago
T
Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
…experience to contribute to both application development and quality engineering. The successful candidate will design, build, test, and maintain application components and automated test…
Added 1 month ago
H
Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
Highspring is seeking a Senior Python Engineer to join a high-performing Data & AI team responsible for building modern data platforms that power advanced analytics and machine learning…
Added 1 month ago
C
Senior Consultant, AI Safety and Guardrails Engineering
CIBC
Toronto, ON
- Full-time
You can demonstrate hands-on engineering experience. You have experience in software engineering, machine learning engineering, MLOps, or AI platform engineering, including developing or…
Added 1 month ago
A
PhD Researcher, AI Research
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…generative motion models, controllable character animation, data-efficient learning and adaptation, representation learning, and learning approaches that incorporate physics or simulation.…
Added 1 month ago
HG
Network Infrastructure Lead
Humankind Global Recruitment
Halifax, NS
- Full-time
Halifax (Hybrid-2 days in office)
Added 1 month ago
IS
Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
- Contract
Must have skills5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
Added 1 month ago
F
Infrastructure Architecture - Senior Professional I
Fiserv
Toronto, ON
- Full-time
· 3+ years of relevant work experience in data engineering or database-focused roles.
Added 1 month ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Ottawa, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems
Added 1 month ago
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Manager Pricing Analytics
TD
Toronto, ON · Montreal, QC
- Full-time
Lead and develop a team of actuaries and data scientists, fostering a culture of innovation and technical excellence while ensuring delivery of high-impact analytical solutions
Added 1 month ago
S
Senior Project Manager - Transportation Engineering & Planning
Stantec
Ottawa, ON
- Full-time
Join Stantec’s growing Transportation Planning and Traffic Engineering group to help us create the biking, walking, transit, and emerging mobility networks that serve the most livable,…
Added 1 month ago
S
Senior Data Engineer
Scene+
Toronto, ON
- Full-time
This job posting is for an existing vacancy that is a full-time, hybrid role working three days per week on site in our Toronto office
Added 1 month ago
IC
Forward Deployed AI Engineer – System Test Automation
Infomatics Corp
Ottawa, ON
- Contract
…and prototypes and making them work reliably inside complex engineering environments. You will embed closely with system test engineers, automation framework/ test owners and development…
Added 1 month ago
Field Embedded Solutions Analyst - Construction
Kiewit
Toronto, ON
…This role works side by side with project management, field engineering, superintendents, project controls, and other project staff to identify execution friction, apply trusted data and AI…
Added 1 month ago
WR
OT Security Analyst
Whitecap Resources Inc.
Calgary, AB
- Full-time
Work with SIEM technologies to ingest new data sources, run advanced correlation. processes, create new content, and use visualization and automation techniques.
Added 1 month ago
TH
Intern, AI Machine Learning Developer
The Home Depot
Canada
- Full-time
At HD Tech, we are not just coding - we’re crafting the future of retail. Our team is a vibrant mix of engineers, data scientists, and problem-solvers who build and maintain intelligent…
Added 1 month ago
Lead Data Engineer
ZS
Toronto, ON
The Data Engineering Lead is a senior technical professional responsible for designing, building, and optimizing scalable data architectures and processes to enable efficient data…
Added 1 month ago
KI
Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
Strong programming ability in Python and experience working with modern ML and data tooling.
Added 1 month ago
TI
Semantic Modeller
TS Imagine
Montreal, QC
- Full-time
On-site role - 4 days per week in our Montreal office, with 1 day of flexibility · Note: This role is not remote - applicants must be based in Montreal
Added 1 month ago
SB
Senior Hydraulics and Capacity Engineer
South Bow
Calgary, AB · Manulife Place
- Full-time
…Management, Field Operations, Control Centre, Work Management, Engineering, and SCADA…
Added 1 month ago
MS
Software Eng III - Job Level: Associate
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a Software Developer (Various Languages Welcome) to contribute to the design and development of innovative front-office technology solutions while…
Added 1 month ago
MS
Consultant Conversion - Software Eng III : Job Level - Director
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as a Software Developer to design, build, and enhance surveillance technology solutions that help strengthen the Firm’s risk management capabilities…
Added 1 month ago
GV
Développeur de logiciels embarqués pour éléments de protection F/H - Protection Element Embedded SW Developer
GE Vernova
Markham, ON
- Full-time
Activities aimed at proving a concept to be valid or technically feasible by the application of scientific and engineering methodologies. Work in this family typically has the objective of…
Added 1 month ago
CP
Full Stack Solutions Developer
CAAT Pension Plan
Toronto, ON · Head Office
- Full-time
Python experience for automation, scripting, data handling, or workflow support.
Added 1 month ago
Software Engineer, Web3 Backend
Robinhood
Toronto, ON
These roles are based in either our Toronto, Canada office, with in-person attendance expected at least 3 days per week

TS Imagine

Semantic Modeller

Montreal, QC, Canada

$1,500 training budget to fuel your growth. · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $1,500 training budget to fuel your growth.
Job type: Full-time
Work location: Note: This role is not remote - applicants must be based in Montreal
Posting language: English · French
Posted: Oct 7, 2026

Original job description

English section of this bilingual listing.

About the Role

What if your users could simply ask? We’re building TSIQ, an AI-powered analytics and intelligence platform that answers questions, recommends actions, and runs workflows for the people who use TS Imagine’s Trading, Risk and Prime Brokerage products. As a Semantic Modeler you’ll build both the foundation and the intelligence on top of it - the data models, pipelines, and semantic layers that make our data trustworthy, and the AI agents that turn it into answers. You'll be part of our dynamic Data & Analytics Office, a globally distributed, high-impact team that processes trillions of data points and manages our cutting-edge data lake built on Snowflake.

This is an opportunity to work at the intersection of data engineering, semantic modeling, and applied AI - on a product that is being defined as you build it. We have multiple openings across levels, from intermediate through senior.

Why You’ll Love This Role

This position is perfect for:

Data Modelers: You believe a great answer starts with a well-designed model, and you take pride in structuring data so others can trust it.
Applied AI Builders: You’re fluent in prompt and context engineering, and you’re energized by making AI agents reliable rather than merely impressive.
Analytical Minds: You enjoy delving into complex data sets and ensuring the highest quality for accurate decision-making.
Problem Framers: You’re comfortable sitting with a business stakeholder, untangling a vague request, and turning it into something buildable.
Storytellers: You're comfortable presenting complex data and AI-driven insights in a way that engages and excites stakeholders.
Action Takers: You thrive on challenges, taking ownership of a variety of responsibilities to deliver high-quality results.
Lifelong Learners: You're always eager to step outside your comfort zone and dive into the intricacies of one of the most complex business domains.
Collaborative Teammates: You possess the technical and interpersonal skills to excel in a cutting-edge software development environment.

What You’ll Do

Design and build the data models and pipelines that power TSIQ.
Develop semantic models so that AI agents reason over trading, risk, and prime brokerage data with precision and consistency.
Build, test, and iterate on AI agents using prompt engineering and context engineering.
Implement guardrails, evaluation, and governance controls that keep AI agents accurate, safe, and auditable.
Deliver analytics and rapid prototypes in Streamlit to put capabilities in front of users early.
Perform business analysis - gather requirements from stakeholders, translate them into technical designs, and validate that what we ship answers the real question.
Collaborate with a global team of developers in a fast-paced, innovative setting.

What You Bring

Strong SQL skills and hands-on experience with Snowflake.
Proficiency in Python, including the ability to contribute to structured, production-grade codebases - not just notebooks.
Experience designing data models and building data pipelines, including transformation frameworks such as dbt.
Semantic modeling experience - defining metrics, dimensions, and business logic that downstream consumers depend on.
Practical prompt engineering and context engineering skills, with a focus on making AI outputs reliable and repeatable.
Experience building AI agents and implementing guardrails to govern their behavior (a strong plus).
Streamlit or comparable experience building lightweight data applications.
Business analysis skills - requirements gathering, stakeholder engagement, and documentation.
Exceptional communication skills. This role sits between business stakeholders and the platform, so clear written and verbal communication is essential.
Capital markets or financial services domain experience. This is extremely important to us - understanding trading, risk, or prime brokerage workflows will set you apart.

Why Join TS Imagine?

On-site role - 4 days per week in our Montreal office, with 1 day of flexibility.
Unlimited vacation + 3 personal days.
Annual bonus and salary review.
$1,500 training budget to fuel your growth.
RRSP matching (3% company contribution).
Comprehensive health insurance.
Subsidized public transportation (Opus & Cie).
Join a global team with 10 offices worldwide and the opportunity to make a real impact on the financial industry.

Note: This role is not remote - applicants must be based in Montreal.

If you're excited by AI, rigorous about data, and ready to help build something new, we want to hear from you!

À propos du poste

Read the full bilingual original

About the Role

Why You’ll Love This Role

This position is perfect for:

Data Modelers: You believe a great answer starts with a well-designed model, and you take pride in structuring data so others can trust it.
Applied AI Builders: You’re fluent in prompt and context engineering, and you’re energized by making AI agents reliable rather than merely impressive.
Analytical Minds: You enjoy delving into complex data sets and ensuring the highest quality for accurate decision-making.
Problem Framers: You’re comfortable sitting with a business stakeholder, untangling a vague request, and turning it into something buildable.
Storytellers: You're comfortable presenting complex data and AI-driven insights in a way that engages and excites stakeholders.
Action Takers: You thrive on challenges, taking ownership of a variety of responsibilities to deliver high-quality results.
Lifelong Learners: You're always eager to step outside your comfort zone and dive into the intricacies of one of the most complex business domains.
Collaborative Teammates: You possess the technical and interpersonal skills to excel in a cutting-edge software development environment.

What You’ll Do

Design and build the data models and pipelines that power TSIQ.
Develop semantic models so that AI agents reason over trading, risk, and prime brokerage data with precision and consistency.
Build, test, and iterate on AI agents using prompt engineering and context engineering.
Implement guardrails, evaluation, and governance controls that keep AI agents accurate, safe, and auditable.
Deliver analytics and rapid prototypes in Streamlit to put capabilities in front of users early.
Perform business analysis - gather requirements from stakeholders, translate them into technical designs, and validate that what we ship answers the real question.
Collaborate with a global team of developers in a fast-paced, innovative setting.

What You Bring

Strong SQL skills and hands-on experience with Snowflake.
Proficiency in Python, including the ability to contribute to structured, production-grade codebases - not just notebooks.
Experience designing data models and building data pipelines, including transformation frameworks such as dbt.
Semantic modeling experience - defining metrics, dimensions, and business logic that downstream consumers depend on.
Practical prompt engineering and context engineering skills, with a focus on making AI outputs reliable and repeatable.
Experience building AI agents and implementing guardrails to govern their behavior (a strong plus).
Streamlit or comparable experience building lightweight data applications.
Business analysis skills - requirements gathering, stakeholder engagement, and documentation.
Exceptional communication skills. This role sits between business stakeholders and the platform, so clear written and verbal communication is essential.
Capital markets or financial services domain experience. This is extremely important to us - understanding trading, risk, or prime brokerage workflows will set you apart.

Why Join TS Imagine?

On-site role - 4 days per week in our Montreal office, with 1 day of flexibility.
Unlimited vacation + 3 personal days.
Annual bonus and salary review.
$1,500 training budget to fuel your growth.
RRSP matching (3% company contribution).
Comprehensive health insurance.
Subsidized public transportation (Opus & Cie).
Join a global team with 10 offices worldwide and the opportunity to make a real impact on the financial industry.

Note: This role is not remote - applicants must be based in Montreal.

If you're excited by AI, rigorous about data, and ready to help build something new, we want to hear from you!

À propos du poste

Et si vos utilisateurs pouvaient simplement poser une question?

Nous construisons TSIQ, une plateforme d’analytique et d’intelligence alimentée par l’IA qui répond aux questions, recommande des actions et exécute des flux de travail pour les utilisateurs des solutions de Trading, Gestion du risque et Prime Brokerage de TS Imagine.

En tant que Spécialiste en modélisation sémantique, vous développerez à la fois les fondations de la plateforme et l’intelligence qui repose dessus : les modèles de données, les pipelines et les couches sémantiques qui rendent les données fiables, ainsi que les agents d’IA qui les transforment en réponses exploitables.

Vous ferez partie de notre Bureau des données et de l’analytique, une équipe mondiale à fort impact qui traite des billions de points de données et gère notre lac de données de pointe basé sur Snowflake.

Il s’agit d’une occasion unique de travailler à l’intersection de l’ingénierie des données, de la modélisation sémantique et de l’intelligence artificielle appliquée, sur un produit qui se construit en même temps qu’il se définit.

Nous recrutons à plusieurs niveaux d’expérience, du niveau intermédiaire au niveau senior.

Pourquoi vous aimerez ce poste

Ce poste est idéal pour :

Experts en modélisation des données: Vous savez qu’une excellente réponse commence par un modèle de données bien conçu et vous prenez plaisir à structurer l’information afin que les autres puissent s’y fier.
Créateurs d’IA appliquée: Vous maîtrisez l’ingénierie de prompts et de contexte, et vous aimez développer des agents d’IA fiables plutôt que simplement impressionnants.
Esprits analytiques: Vous aimez explorer des ensembles de données complexes et assurer un niveau de qualité élevé afin de soutenir une prise de décision éclairée.
Structurateurs de problèmes: Vous êtes à l’aise avec les parties prenantes d’affaires, capable de transformer des besoins parfois flous en solutions concrètes et réalisables.
Communicateurs et vulgarisateurs: Vous savez présenter des données complexes et des analyses alimentées par l’IA de façon claire et engageante.
Personnes orientées vers l’action: Vous aimez relever des défis, prendre des responsabilités variées et livrer des résultats de qualité.
Apprentis permanents: Vous êtes curieux, aimez sortir de votre zone de confort et souhaitez comprendre les subtilités de l’un des secteurs d’affaires les plus complexes.
Joueurs d’équipe: Vous combinez compétences techniques et aptitudes relationnelles pour évoluer dans un environnement de développement logiciel innovant et collaboratif.

Ce que vous ferez

Concevoir et développer les modèles de données et les pipelines qui alimentent TSIQ.
Développer des modèles sémantiques permettant aux agents d’IA de raisonner avec précision et cohérence sur les données de négociation, de gestion du risque et de prime brokerage.
Concevoir, tester et améliorer des agents d’IA au moyen de l’ingénierie de prompts et de contexte.
Mettre en place des mécanismes de gouvernance, d’évaluation et de contrôle afin d’assurer la précision, la sécurité et la traçabilité des agents d’IA.
Produire des analyses et développer rapidement des prototypes sous Streamlit afin de mettre rapidement de nouvelles capacités entre les mains des utilisateurs.
Réaliser l’analyse des besoins d’affaires : recueillir les besoins des parties prenantes, les traduire en conceptions techniques et valider que les solutions livrées répondent réellement aux besoins.
Collaborer avec une équipe mondiale de développeurs dans un environnement rapide et innovant.

Ce que vous apportez

Excellente maîtrise du SQL et expérience pratique avec Snowflake.
Maîtrise de Python, incluant la capacité à contribuer à des bases de code structurées et prêtes pour la production, et non uniquement à des notebooks.
Expérience en conception de modèles de données et en développement de pipelines de données, notamment avec des outils de transformation tels que dbt.
Expérience en modélisation sémantique : définition de métriques, dimensions et règles d’affaires sur lesquelles les utilisateurs s’appuient.
Expérience concrète en ingénierie de prompts et de contexte, avec un souci constant de fiabilité et de reproductibilité des résultats produits par l’IA.
Expérience dans le développement d’agents d’IA et la mise en place de mécanismes de contrôle et de gouvernance (atout important).
Expérience avec Streamlit ou d’autres outils similaires de développement d’applications analytiques légères.
Solides compétences en analyse d’affaires, incluant la collecte des besoins, la collaboration avec les parties prenantes et la documentation.
Excellentes aptitudes en communication écrite et orale. Ce poste se situe à l’interface entre les utilisateurs d’affaires et les plateformes technologiques.
Expérience dans les marchés financiers ou les services financiers. Cet aspect est particulièrement important pour nous. Une connaissance des activités de trading, de gestion du risque ou de prime brokerage constitue un avantage majeur.

Pourquoi rejoindre TS Imagine?

Poste en présentiel : 4 jours par semaine au bureau de Montréal, avec 1 journée flexible.
Vacances illimitées et 3 journées personnelles.
Prime annuelle et révision salariale annuelle.
Budget annuel de 1 500 $ pour la formation et le développement professionnel.
Régime d’épargne-retraite (RVER/RRSP) avec contribution de l’employeur de 3 %.
Assurance collective complète.
Transport collectif subventionné (Opus & Cie).
Intégrez une équipe mondiale répartie dans 10 bureaux à travers le monde et contribuez concrètement à l’évolution de l’industrie financière.

Important : Ce poste n’est pas admissible au télétravail à temps plein. Les candidats doivent être basés dans la région de Montréal.

Si l’intelligence artificielle vous passionne, que vous êtes rigoureux avec les données et que vous voulez contribuer à bâtir quelque chose de nouveau, nous serions ravis de vous rencontrer.

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More about this job

Responsibilities

Design and build data models, pipelines, and semantic layers that support TSIQ and enable AI agents to reason accurately about trading, risk, and prime brokerage data. Develop and evaluate AI agents with appropriate guardrails, create Streamlit prototypes, and translate stakeholder needs into validated technical solutions.

Requirements

Candidates should have strong SQL and Snowflake experience, production-grade Python skills, and experience with data modeling, pipelines, semantic models, and tools such as dbt. Practical prompt and context engineering, AI agent governance, Streamlit, business analysis, strong communication, and capital markets or financial services knowledge are also sought.

Skills

SQL
Snowflake
Python
Data Modeling
Data Pipelines
dbt
Semantic Modeling
Prompt Engineering
Context Engineering
AI Agent Development
AI Guardrails and Governance
Streamlit
Business Analysis
Stakeholder Engagement
Capital Markets
Financial Services

Benefits

Unlimited Vacation
Personal Days
Annual Bonus
Annual Salary Review
Training Budget
RRSP Matching
Health Insurance
Subsidized Public Transportation

Visa sponsorship

Not detected in the job text

Keywords

TSIQ
Snowflake
SQL
Python
dbt
Streamlit
Data Lake
Data Modeling
Data Pipelines
Semantic Layers
Semantic Modeling
Metrics
Dimensions
Business Logic
Prompt Engineering
Context Engineering
AI Agents
AI Evaluation
AI Guardrails
AI Governance
Analytics
Business Analysis
Requirements Gathering
Stakeholder Engagement
Trading
Risk Management
Prime Brokerage
Capital Markets
Financial Services

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Work requirements

Jobs in Canada