Financial Technology Interns - Spring 2027
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.
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.
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.
On-site · Montréal-Ouest
The role involves managing data governance within a tech-first, AI-native environment. The candidate will support the technology infrastructure used by global hedge funds, banks, and asset managers.
On-site · Montréal-Ouest
The Data Steward will manage and oversee data assets within a tech-first, AI-native environment. They will support the technology infrastructure used by hedge funds, banks, and asset managers.
Hybrid · Montréal
Design and build data models, pipelines, and semantic layers to power the TSIQ AI platform. Develop and iterate on AI agents using prompt engineering while implementing governance controls and rapid prototypes in Streamlit.