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Senior Quantitative Developer Jobs in Ontario (NOW HIRING)

... engineering experience, ideally in financial services or another quantitative domain ... Educational background: degree in a field with experience using technology to solve quantitative ...

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Collaborate with data engineering and technology partners to define business logic, document ... Execute ad hoc deepdive analyses to support strategic initiatives, or address questions from senior ...

We are seeking a Senior .NET Developer to join our client's Equity Derivatives technology group. In ... Collaborate with Quants: Work directly with Quantitative Researchers and Traders to translate ...

We are looking for a highly skilled Senior KDB Developer to join our engineering team. The ideal ... quants, analysts, and other engineering teams to understand requirements.

We are looking for a highly skilled Senior KDB Developer to join our engineering team. The ideal ... quants, analysts, and other engineering teams to understand requirements.

Premier Research is looking for a Senior R Programmer/ Shiny Developer to join our Biostatistics ... related quantitative field (Master's preferred). * 5+ yearsof programming experience in the ...

The Opportunity This Senior Developer/Business Analyst role within Quantitative and Technology Services (QTS), consists of developing, improving and supporting strategic applications within the RAMPP ...

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Senior Quantitative Developer information

How does a senior quantitative developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is a senior quantitative developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

What is the difference between Senior Quantitative Developer vs Quantitative Analyst?

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

What are the key skills and qualifications needed to thrive as a senior quantitative developer?

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.
What are the most commonly searched types of Quantitative Developer jobs in Ontario? The most popular types of Quantitative Developer jobs in Ontario are:
What are popular job titles related to Senior Quantitative Developer jobs in Ontario? For Senior Quantitative Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Senior Quantitative Developer jobs in Ontario look for? The top searched job categories for Senior Quantitative Developer jobs in Ontario are:
Infographic showing various Senior Quantitative Developer job openings in Ontario as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution.

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Job description

Referral Level: Level 2

Mackenzie Investments  

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 Canadaโ€™s Top 100 Employers for the fourth consecutive year and one of Canadaโ€™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. 

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.

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.

The main responsibilities of the role:

  • Build and operate AWS-based services for portfolio workflows โ€” MWAA, Lambda, Fargate โ€” 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 โ€” 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

Minimum requirements for this role include:

  • 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 โ€” 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

Benefits 

  • COMPETITIVE COMPENSATION & RECOGNITION: competitive base salary, performance-weighted bonus, education/career support, option to join Employee Share Purchase Plan with employer matching component. 
  • EMPLOYEE BENEFITS & INSURANCE: competitive health and dental coverage, flexible plan for you and your family and short-term & long-term disability plans. 
  • RETIREMENT SAVINGS PROGRAMS: voluntary Group RRSP enrolment with employer matching component. 
  • WORK LIFE BALANCE: paid volunteer days, competitive time off including 10 wellness days off, WorkPerks discount program, hybrid & flex work arrangements. 
  • INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background).  

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 โ€“ 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.    

How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.mackenzieinvestments.com/en/careers.  

Artificial Intelligence in Recruitment: As part of our Talent Acquisition process, we may use artificial intelligence and automated tools to support activities such as candidate sourcing, application review, and interview scheduling. These tools support the recruitment process; all hiring decisions are made by people. 

We thank all applicants for their interest in Mackenzie Investments; however, only those candidates selected for an interview will be contacted. 

Please apply by August 21 2026.

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