About the RoleWhat 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 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.
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.
- 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!
