TS Imagine delivers a best-in-class SaaS platform for integrated electronic front-office trading, portfolio management, and financial risk management tools to the buy-side and sell-side. Formed following the merger of TradingScreen and Imagine Software in 2021, TS Imagine innovates by drawing on nearly thirty years’ experience serving the world’s most sophisticated financial services firms through changing markets and a shifting regulatory landscape. The TS Imagine team is…
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Proud history, bright outlook
Full company description
TS Imagine delivers a best-in-class SaaS platform for integrated electronic front-office trading, portfolio management, and financial risk management tools to the buy-side and sell-side. Formed following the merger of TradingScreen and Imagine Software in 2021, TS Imagine innovates by drawing on nearly thirty years’ experience serving the world’s most sophisticated financial services firms through changing markets and a shifting regulatory landscape.
The TS Imagine team is focused on developing technology that empowers its clients to succeed every day, in every asset class. TS Imagine employs the best technology talent, alongside former senior traders who understand first-hand their client’s pressure points and how to address them. This complementary expertise, unique to the industry, enables TS Imagine to dive deep in areas such as data science, automation, and development. As a result, clients can focus on what they do best: generating and protecting alpha within fast evolving markets.
Candidates need strong SQL and Snowflake experience, Python, data modelling and dbt skills, and prompt and context engineering. Capital markets or financial services experience is strongly preferred, and candidates must be based in Montreal.
Candidates need a science, math, engineering, quantitative finance or economics background and a broad understanding of finance and risk. Strong written and oral communication is required, and experience with scripting languages such as Python or JavaScript, SQL, or API work is highly desirable.
Maîtrise de SQL et Python pour l'analyse de données; Excellente maîtrise des outils Microsoft Office; Compréhension de base des instruments et marchés financiers
5+ YOECandidates need five or more years of data engineering experience, strong SQL and Python skills, and hands-on production work with Snowflake and dbt. They also need Git, CI/CD and testing experience, and must be based in Montreal and able to communicate in French.
Excellente maîtrise du SQL et de Snowflake; Maîtrise de Python pour du code prêt pour la production; Expérience en modélisation de données et pipelines (dbt)
5+ YOE5 ans d'expérience ou plus; Expérience forte en intégration ou support orienté client; Connaissance des marchés financiers et des produits dérivés
Candidates need strong SQL and Snowflake experience, solid Python skills, and data modeling and pipeline experience, including dbt. Capital markets or financial services experience is extremely important to TS Imagine, and applicants must be based in Montreal.
Expérience en gouvernance ou gestion de domaines de données, idéalement en services financiers; Bonne maîtrise de Snowflake ou d’un entrepôt infonuagique et du SQL; Expérience en données de référence, de transactions, de
Candidates need knowledge of financial products and pricing models, plus understanding of risk methods such as VaR and stress testing. A degree or current studies in a quantitative field, and programming skills in JavaScript or Python, are expected.
Candidates need a degree or enrollment in computer science, math, engineering, finance or a similar field. They should understand financial products, pricing models and risk methods like VaR, and have programming skills, preferably JavaScript or Python.
Candidates need data management or governance experience, ideally in financial services or capital markets, plus working knowledge of Snowflake or a similar cloud warehouse and SQL. Familiarity with securities, trading, risk or market data and interest in prompt engineering or semantic modeling are also expected.