Senior Quant Engineer

Mackenzie Financial Corporation•Toronto, ON

6d•Hybrid

About The Position

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. The ideal candidate is passionate about technology and portfolio management, innovative, productive, humble, and has the highest standard of honesty and integrity. They are motivated by achieving excellence and by being part of a team who strives continuously to be the best in its field. The successful candidate will gain valuable knowledge and skills by being part of a team that makes investment decisions on a large breadth of asset classes, geographies, and investment strategies.

Requirements

5+ years of professional software engineering experience, ideally in financial services or another quantitative domain
Educational background: 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

Nice To Haves

prior experience an asset

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

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
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)