TS Imagine provides a unified, multi-asset platform for global banks, asset managers, hedge funds and prime brokers. On one platform they trade across equities, fixed income, FX, derivatives, and crypto, manage risk and margin in real time, and run prime services operations spanning securities lending, repo, and collateral management. All solutions work from the same underlying data and proprietary ontology, where every metric has one unambiguous definition readable by machine learning. That means a single trusted view of the business and analytics clients can defend to regulators, counterparties, and compliance teams. TS Imagine delivers that through TSIQ: actionable, explainable intelligence grounded entirely in their own data.
Hybrid · Montréal
Design and build data models, pipelines, and semantic layers for the TSIQ platform, and develop and evaluate AI agents that answer questions about trading, risk, and prime brokerage data. Gather and translate stakeholder requirements into technical designs, deliver Streamlit prototypes, and implement controls that make AI outputs accurate, safe, and auditable.
On-site · Montréal-Ouest
Build and maintain technology used by hedge funds, banks, and asset managers. The posting does not provide specific day-to-day responsibilities for the Senior Data Developer role.
Hybrid · Montréal
Design, build, and operate production data pipelines and Snowflake/dbt models that support trading, risk, analytics, and operational workflows. Improve shared platform capabilities for data quality, monitoring, testing, and production support, while developing data models and semantic views for downstream applications and AI interfaces.
Hybrid · Montréal
Own the governance, documentation, quality, and continuous improvement of assigned financial-data domains, including investigating issues and coordinating fixes. Build and refine Snowflake semantic layers and AI prompts, and provide L2 support to ensure AI products and downstream users receive accurate, well-governed data.
Hybrid · Montréal
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.
On-site · Montréal-Ouest
The posting does not describe specific intern responsibilities. It presents the role as an opportunity to contribute to technology used by hedge funds, banks, and asset managers.
On-site · Montréal
Support infrastructure and technologies across the TS Imagine Financial Platform, and work with internal and external clients to build and maintain products and workflows. Review financial models, analyze P&L and cash reconciliations using Excel, support trade uploads, and create applications with the platform’s JavaScript API.
