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About the Role
This internship offers a unique opportunity to support portfolio managers and quantitative analysts within Mackenzie Investments' Fixed Income Platform Engineering group. You will contribute to the implementation and execution of key investment processes, gaining exposure to real-world systems at scale in a supportive, innovative environment.
Responsibilities
- Contribute to the design and implementation of analytics, research workflows, and decision-support tools for fixed income portfolio management.
- Build and maintain software and infrastructure that power systematic research and data workflows.
- Help monitor, troubleshoot, and improve live production processes, gaining exposure to real-world systems at scale.
- Collaborate with teammates across the platform and portfolio engineering teams, as well as with researchers and portfolio managers across Fixed Income.
- Participate actively in a modern software development environment, including version control, testing, and code review.
Requirements
- Proven academic performance in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Economics, or Finance.
- Active programming proficiency, with fluency in Python.
- Hands-on experience working with large datasets, particularly within the Python ecosystem (e.g., NumPy, SciPy, Pandas, Polars).
- Working knowledge of both SQL and NoSQL databases.
- Enthusiasm for applying modern development tools and best practices across the entire software application lifecycle.
- Foundational understanding of financial markets, and a motivation to deepen knowledge of fixed income and quantitative finance.
- Familiarity with statistics, econometrics, and related forecasting techniques.
- Mindset oriented toward independent thinking, curiosity, and creative problem-solving.
- High attention to detail and a consistent focus on producing accurate, high-quality work.
- Effective interpersonal, verbal, and written communication skills.
- Ability to contribute in both remote and in-person collaborative environments.
- Candidates must be eligible to work full-time for the entire duration of the program.
Skills
- Python
- JavaScript/TypeScript
- C++/Java
- MATLAB
- R
- Rust
- NumPy
- SciPy
- Pandas
- Polars
- SQL
- NoSQL
Location
- Remote
- In-person
Work Type
- Full-time
- Hybrid
Experience Level
- Intern
Education Level
- Quantitative discipline (Computer Science, Engineering, Mathematics, Physics, Economics, or Finance)
Salary/Compensations
- $68,250 - $78,000 (prorated)
Benefits
- Paid time off
About the Company
- IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $271 billion in assets.
- It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments.
- Mackenzie Investments, founded in 1967, is a key part of IGM's business model, serving as a comprehensive asset-management partner for Canadian financial advisors and their clients.
- Mackenzie Investments is recognized as one of Canada’s Top 100 Employers for the fourth consecutive years and one of Canada’s Best Diversity Employers.
- Our vision and strategy aim to innovate the industry and support Canadians in achieving their financial goals.
- Our Values: Be better; we strive for improvement in everything we do. Be accountable; we foster clarity and are empowered to act responsibly. Be a team; we are united to drive collective impact to achieve our goals.
Equal Opportunity
- IGM is a diverse workplace committed to doing business inclusively - this starts with having a representative workforce! We encourage applications from all qualified candidates that represent the diversity present across Canada – including racialized persons, women, Indigenous persons, persons with disabilities, 2SLGBTQIA+ community, gender diverse and neurodiverse individuals, as well as all who may contribute to the further diversification of ideas.
- Mackenzie Investments is an accessible employer committed to providing barrier-free recruitment experience. If you require accommodation or this information in an alternate format at any stage of the recruitment process, please reach out to the Talent Acquisition team who will work with you to meet your needs.