Opens an external site
- Employment type
- Contract
- Experience level
- Lead · 10+ years
- Apply by
- Oct 30, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Perform hands-on analysis of investment and portfolio data, including writing and running SQL queries and conducting data investigations. Use Python for scripting and work with front-office systems and trading workflows.
Job details
10+ years of experience in data analysis or business analysis Extensive investment data experience. Hands-on data analysis skills (SQL/Python) Experience with front office systems like Aladdin and Bloomberg. Strong understanding of investment management, including trading workflows, portfolio data, and front‑office concepts Front office concepts. Ability to write and run SQL queries and perform data investigations. Python for scripting Asset Management Pension funds or similar financial institutions CFA Level I–III Coming from financial institutions Contract Hybrid/Toronto Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
What you’ll do
Perform hands-on analysis of investment and portfolio data, including writing and running SQL queries and conducting data investigations. Use Python for scripting and work with front-office systems and trading workflows.
Requirements
Requires 10 or more years of data or business analysis experience, extensive investment data experience, and strong SQL and Python skills. Candidates should understand investment management and front-office concepts, with experience at an asset manager, pension fund, or similar financial institution; CFA Level I–III is also mentioned.
Listed skills
- SQL · Preferred
- Asset Management · Preferred
- Data analysis · Preferred
- Business analysis · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- Business Analysis
- SQL
- Python
- Investment Data Analysis
- Investment Management
- Trading Workflows
- Portfolio Data
- Front-Office Systems
- Data Investigation
- Asset Management
Job areas
- Data & Analytics
- Finance & Accounting
- Technology
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