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-Ouest
The role involves working as a Product Specialist focusing on risk management and portfolio solutions. The candidate will contribute to technology used by top hedge funds, banks, and asset managers within an AI-native culture.
On-site · Montréal
The Graduate Product Specialist serves as the primary contact for customers using risk management products, investigating complex technical issues and business flows. They are responsible for improving financial static data quality and collaborating with engineers to deliver solutions and production changes.
Hybrid · Montréal
Design and operate an end-to-end agentic marketing system that automates lead scoring, campaigns, and competitive intelligence. You will build LLM-based agents and data pipelines to integrate CRM and intent data into the revenue pipeline.
Hybrid · Montréal
The role involves end-to-end stewardship of financial data domains and the development of Snowflake semantic layers to power AI-driven products. Responsibilities include building LLM-based agents, managing data pipelines, and ensuring data quality and governance for AI consumption.
On-site · Montréal-Ouest
The role involves acting as a Data Product Steward within the Data Office to manage and oversee data products. The position supports the technology infrastructure used by hedge funds, banks, and asset managers.
On-site · Montréal-Ouest
Develop AI-native technology and infrastructure for top hedge funds, banks, and asset managers. Contribute to a tech-first culture within a global financial software environment.
On-site · Montréal-Ouest
The role involves managing the integration process for clients using trading technology for hedge funds, banks, and asset managers. It focuses on implementing AI-native infrastructure within a global financial technology environment.
On-site · Montréal-Ouest
Develop technology for top hedge funds, banks, and asset managers within an AI-native culture. Build and maintain infrastructure for a global client base across multiple international offices.
On-site · Montréal-Ouest
The role involves building technology for top hedge funds, banks, and asset managers within an AI-native culture. The focus is on semantic modeling to support financial trading infrastructure.
On-site · Montréal-Ouest
Develop technology for top hedge funds, banks, and asset managers. Work within an AI-native culture to build financial trading infrastructure.
Hybrid · Montréal
Design and implement technical solutions for client integrations of TS Imagine products in a production environment. Facilitate technical workshops and collaborate with internal teams to ensure successful product deployment and project delivery.
Hybrid · Montréal
Design and build data models, pipelines, and semantic layers to power the TSIQ AI-powered analytics platform. Develop and iterate on AI agents using prompt engineering while implementing governance controls and rapid prototypes in Streamlit.
Hybrid · Montréal
Design and build data models, pipelines, and semantic layers to power the TSIQ AI-powered analytics platform. Develop and iterate on AI agents using prompt engineering while implementing governance controls and rapid prototypes in Streamlit.
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.
