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Senior Quantitative Developer Jobs in Ontario (NOW HIRING)

CA$126K - CA$158K/yr

As a key member, you will work at the intersection of Data Science and DevOps, building robust ML ... quantitative field. Compensation Base pay ranges from CAD $126,400.00 / year to $158,000.00 / year ...

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 ...

Bridging quantitative finance and systems engineering, we optimize the mission-critical risk ... Work closely with senior technical leadership to understand risk models and decompose complex ...

Senior RAM Engineer

Toronto, ON ยท On-site +1

CA$108K - CA$163K/yr

GFT is seeking a Senior RAM Engineer to join our Practice or CBG Team out of either Ontario ... Strong experience with reliability engineering methods and quantitative analyses. * Experience with ...

Senior RAM Engineer

Mississauga, ON ยท On-site +1

CA$108K - CA$163K/yr

GFT is seeking a Senior RAM Engineer to join our Practice or CBG Team out of either Ontario ... Strong experience with reliability engineering methods and quantitative analyses. * Experience with ...

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 ...

AI Applied Senior Engineering Lead

Mississauga, ON ยท On-site

CA$145K - CA$217K/yr

Citi's Banking Technology organization is seeking a highly hands-on AI Applied Senior Engineering ... Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative ...

AI Applied Senior Engineering Lead

Mississauga, ON ยท On-site

CA$145K - CA$217K/yr

Citi's Banking Technology organization is seeking a highly hands-on AI Applied Senior Engineering ... Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative ...

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... quantitative discipline * 5-8 years of experience in data engineering with proven track record of ...

Extensive exposure to analytics and quantitative finance, excellent problem solving skills * Quick ... Solving, Programming Languages, Software Development Life Cycle (SDLC) Additional Job Details ...

... Data Engineering, and other teams across Jobber. The Role Reporting to the Manager, Customer ... You will design and evolve the quantitative backbone of Jobber's marketing measurement--helping the ...

If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear ... Collaborate with quants, traders, and analysts to translate business needs into performant ...

Showing results 21-40

Senior Quantitative Developer information

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 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.

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 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 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:

What cities in Ontario are hiring for Senior Quantitative Developer jobs?

Cities in Ontario with the most Senior Quantitative Developer job openings:

Infographic showing various Senior Quantitative Developer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

CA$126K - CA$158K/yr

Full-time

This job post hasย expired 3 days ago.ย Applications are no longer accepted.


Job description

Senior Software Engineer II โ€“ Machine Learning Platform

We are seeking a Senior Software Engineer II to design and implement secure, highly scalable, and highโ€‘performance pipelines for the endโ€‘toโ€‘end lifecycle of ML models within SurveyMonkeyโ€™s Machine Learning Platform team (MLP).

As a key member, you will work at the intersection of Data Science and DevOps, building robust ML systems that support generative AI, NLP, and realโ€‘time classification. You will report to the Senior Engineering Manager on the MLP Solutions team.

Key Responsibilities
  • Build and maintain robust ML systems using Python (Pandas/NumPy, PyTorch/transformers) to support efficient ML operations.
  • Design ML cloud infrastructure using AWS services, ensuring the platform is built for reuse, scalability, and highโ€‘volume throughput.
  • Collaborate with application engineers to integrate, test, and monitor ML model services across SurveyMonkeyโ€™s microservices architecture.
  • Act as a consultant to internal feature teams, educating and influencing decisions regarding ML tooling and infrastructure.
  • Incorporate telemetry into the platform for complex failure mode analysis, ensuring realโ€‘time reliability for millions of daily survey responses.
  • Serve as a technical leader and mentor, championing high standards in coding, documentation, and architectural best practices to foster the professional growth of junior engineers on the MLP team.
Qualifications
  • 8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS.
  • Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP.
  • Expertโ€‘level Python skills and experience with highโ€‘scale data processing (PySpark, etc.).
  • Comfortable with Unix/Linux systems and experienced in deploying endโ€‘toโ€‘end solutions for realโ€‘time applications (spam detection, personalization, ranking).
  • Bachelorโ€™s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.
Compensation

Base pay ranges from CAD $126,400.00 / year to $158,000.00 / year, plus potential bonuses and a comprehensive benefits package.

Work Arrangement

Hybrid: required to work onโ€‘site in Ottawa up to one day per week. Remote work is otherwise possible.

EEO Statement

SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. Accommodations are available for applicants with disabilities.

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