Closed listing
Analytics & AI Developer
- Montreal, QC, Canada
$1,500 training budget to fuel your growth. · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $1,500 training budget to fuel your growth.
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
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 an Analytics & AI Developer 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:
If you're excited by AI, rigorous about data, and ready to help build something new, we want to hear from you!
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 an Analytics & AI Developer 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.
- 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.
- 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.
- 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.
If you're excited by AI, rigorous about data, and ready to help build something new, we want to hear from you!
More about this job
Responsibilities
You will design and build data models, pipelines, and semantic layers to power AI-driven analytics platforms. Additionally, you will develop and govern AI agents while collaborating with stakeholders to translate business requirements into technical solutions.
Requirements
Candidates must have strong SQL, Python, and Snowflake experience, along with proficiency in data modeling and transformation frameworks like dbt. Practical experience in prompt engineering, AI agent development, and domain knowledge in capital markets or financial services is required.
Skills
- SQL
- Snowflake
- Python
- Data modeling
- Data pipelines
- Dbt
- Semantic modeling
- Prompt engineering
- Context engineering
- AI agents
- Streamlit
- Business analysis
- Communication skills
- Capital markets
- Financial services
Benefits
- Unlimited vacation
- Personal days
- Annual bonus
- Training budget
- RRSP matching
- Health insurance
- Subsidized public transportation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Software
- Technology
- Finance & Accounting
- Engineering
Keywords
- Analytics
- AI Developer
- TSIQ
- Data Engineering
- Snowflake
- SQL
- Python
- Dbt
- Semantic Modeling
- Prompt Engineering
- Context Engineering
- AI Agents
- Streamlit
- Business Analysis
- Capital Markets
- Financial Services
- Trading
- Risk Management
- Prime Brokerage
- Data Lake
- Data Pipelines
- Governance
- Guardrails
- Stakeholder Engagement