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:
- 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!
