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About the Role
The Multi-Asset Strategies team is seeking an exceptional technologist to help build the next generation of our systematic investment platform. The role spans market data, investment signals, portfolio construction, and reporting across a technology stack that includes Python, MongoDB/DocumentDB, FactSet/Axioma, Tableau, AWS, and GenAI infrastructure. We are a fast-paced team that moves quickly on new ideas and new technologies.
Responsibilities
- Build and operate AWS-based services for portfolio workflows — MWAA, Lambda, Fargate — and the CI/CD pipelines (Jenkins) that support them
- Develop and extend GenAI infrastructure (Bedrock or SageMaker, vector databases, RAG, LLM application frameworks) to accelerate research and portfolio workflows
- Design, development, and support of new and existing software and systems supporting systematic investment decisions in equity, options, bonds, currencies, commodities, and related derivative products
- Implement and support systems behind holdings and position management, trade submission, and reporting
- Partner with investment professionals and technology teams to build technology that supports their work
- Own the reliability, observability, and operational health of investment systems running in production
- Build and maintain data pipelines for market data, alternative data, and investment signals
- Support day-to-day portfolio management activities
- Keep the team at the leading edge — scan and evaluate emerging technologies relevant to systematic investing (cloud, GenAI, quant libraries, data platforms), recommend what to adopt, pilot, or skip, and share findings through write-ups and hands-on mentoring
Requirements
- 5+ years of professional software engineering experience, ideally in financial services or another quantitative domain
- Degree in a field with experience using technology to solve quantitative problems
- Strong interest in capital markets and the systems that support them required, prior experience an asset
- Advanced knowledge of Python as well as experience using Pandas
- Strong software engineering fundamentals: version control (Git), code review, automated testing, and system design
- Track record of staying current with emerging technologies and bringing teammates along — e.g., evaluating new tools, leading internal tech talks or write-ups, or mentoring others on adoption
- Hands-on AWS (or equivalent cloud technology) experience required, particularly with MWAA (Managed Workflows for Apache Airflow), Lambda, and Fargate. Experience building and maintaining CI/CD pipelines with Jenkins
- Experience with GenAI infrastructure (e.g., Amazon Bedrock or SageMaker, vector databases, retrieval-augmented generation, prompt orchestration, or LLM application frameworks) an asset
- High performing team player
- Excellent communication skills
Skills
- Python
- Pandas
- Git
- AWS
- MWAA
- Lambda
- Fargate
- Jenkins
- GenAI
- Amazon Bedrock
- SageMaker
- Vector databases
- Retrieval-augmented generation
- Prompt orchestration
- LLM application frameworks
- MongoDB
- DocumentDB
- FactSet
- Axioma
- Tableau
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- 5+ years of professional software engineering experience
Education Level
- Degree in a field with experience using technology to solve quantitative problems
Benefits
- Competitive base salary
- Performance-weighted bonus
- Education/career support
- Option to join Employee Share Purchase Plan with employer matching component
- Competitive health and dental coverage
- Flexible plan for you and your family
- Short-term & long-term disability plans
- Voluntary Group RRSP enrolment with employer matching component
- Paid volunteer days
- Competitive time off including 10 wellness days off
- WorkPerks discount program
- Hybrid & flex work arrangements
- Engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background)
About the Company
- IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025.
- 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.
- At Mackenzie Investments You Can Build Your Career with Confidence.
- We are proud to be recognized as one of Canada’s Top 100 Employers for the fourth consecutive year 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.
- Join our team to engage in continuous learning and skill development in a supportive environment.
- Experience the best of both worlds with our hybrid work environment, where you spend three days a week in the office, connecting, collaborating, and enjoying quality time with your amazing colleagues!
- 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.