Data Engineer jobs in Canada
Data Scientist, OCIO: Quant Signals & Strategy
Polar Asset Management Partners Inc.
Data Scientist, Office of the CIO
Polar Asset Management Partners Inc.
Continuous Improvement Analyst — Data, Automation & Insights
American Iron & Metal (AIM)
Remote Senior Data Scientist — Agentic AI for Finance
Alpaca
Senior Data Scientist
Alpaca
Discover more opportunities than anywhere else. Find more jobs nowBMS Data Modeler: Deployments & Energy Analytics
Work in Ottawa
Building Systems Data Modeler – BMS Deployments
Work in Ottawa
Workplace Tech & Data Analyst (IWMS/BI) – Calgary
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Royal Canadian Steel Inc.
Onsite Data Scientist - Predictive Modeling & Strategy
Royal Canadian Steel Inc.
Data Analyst - Hybrid (Raiser's Edge Insights)
Muscular Dystrophy Canada
Data Analyst
Muscular Dystrophy Canada
Hybrid Data Analyst: Power BI & Dashboards (6 Mo)
Kelly
Senior Data Scientist (Hybrid)
Homebase
Data Scientist Sénior – Analytique Urbaine & Immobilier
Local Logic
Scientifique de données senior/Senior Data Scientist
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Platform ML: Full-Stack Data Scientist
Zynga
Platform ML: Full-Stack Data Scientist
Zynga
Senior Data Scientist (Full Stack)
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Pharmacy Data Specialist — Accurate Records, Impactful Work
MediSystem Pharmacy
Pharmacy Data Specialist
MediSystem Pharmacy
Data Scientist, OCIO: Quant Signals & Strategy
Job summary
A global asset management firm in Toronto is seeking a Data Scientist to enhance investment decision-making through quantitative analysis and model development. This role includes building investment models, conducting backtests, and collaborating with portfolio managers. Candidates should have a strong quantitative background, proficiency in Python and SQL, and a motivation to grow within the investment sector. The estimated salary range is $130,000 to $155,000, reflecting the emphasis on performance and market demands.
Benefits
Qualifications
- 1-5 years of experience working on models, signals, or analytical tools using financial data.
- Familiarity with historical simulations, factor analysis, or portfolio‑level metrics is a plus.
- Motivated to build an investing career and eager to learn through direct involvement.
Responsibilities
- Build and implement investment models and signals with direct impact on PnL.
- Design and run backtests to inform live implementation.
- Support ECM and DCM initiative, contributing to equity and debt capital markets analysis.
Skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.