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Quant Engineer Jobs in Toronto, ON (NOW HIRING)

Bachelor's Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics) * 5-7+ years of experience in AI/ML engineering, applied machine learning, natural ...

Director,Quantitative Data Products

Toronto, ON ยท Hybrid

CA$121K - CA$170K/yr

Director, Quantitative Data Products Nasdaq's Alternative Data group specializes in creating unique ... Partner with cross-functional teams including data science, data engineering, partnerships, client ...

Engineer for Performance: Implement advanced parallel and asynchronous programming patterns (TPL ... Collaborate with Quants: Work directly with Quantitative Researchers and Traders to translate ...

Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code. * Mentor and guide junior and mid-level developers, fostering a culture of technical ...

Advanced academic background in a quantitative discipline such as Computer Science, Engineering, Mathematics, or a related field. Excellent communication skills, a coaching mindset, and the ability ...

Advanced academic background in a quantitative discipline such as Computer Science, Engineering, Mathematics, or a related field. * Excellent communication skills, a coaching mindset, and the ability ...

Showing results 21-40

Quant Engineer information

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
Infographic showing various Quant Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Associate Director, Credit & Stress Testing ML Engineer

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Job Description

What is the opportunity?

Reporting to the Director, Credit & Stress Testing Implementation Assurance, the Associate Director, Credit & Stress Testing ML Engineer will apply business and technical knowledge to turn models into production-grade services that will support model development across the Credit Modelling and Methodology Team (CMM).

In this position you will have the opportunity to work across all banking book exposures in full development/deployment cycles of critical provisioning and stress testing programs. You will be responsible for the production lifecycle of the ECL generation process through development of production source code, building and execution of user assurance and post-implementation testing (UAT/PIV), writing implementation documentation, and development of continuous assurance solutions. As part of development and maintenance of production models, you will collaborate with several groups including model developers, business stakeholders, and IT teams.

What will you do?

Develop credit risk model implementations

  • Develop scalable and efficient production implementations of all credit risk models across provisioning (IFRS 9/CECL) and stress testing programs (EWST/MST/CCAR)
  • Engineer and maintain scalable data pipelines and workflows using Python and PySpark
  • Apply and advocate for coding best practices to optimize production system performance, scalability, and reliability
  • Development of scalable testing solutions to increase coverage, including unit testing
  • Build and maintain CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Airflow)
  • Contribute to code reviews, collaborate with data scientists, credit risk modellers, and IT teams
  • Maintain technical documentation and submit change control UAT/PIV evidence for validation review
  • Use of quantitative methods to diagnose model implementation issues and impacts

Source code review

  • Review of reporting code for provisioning (IFRS9/CECL) and stress testing programs (EWST/MST/CCAR).

What do you need to succeed?

Must Have

  • 5+ years related work experience in developing and/or deploying scalable coding solutions (including distributed systems and performance optimization)
  • Knowledge of credit risk methodology, including capital estimation, credit risk/stress testing models, and/or direct experience with Expected Credit Loss implementations
  • Strong programming experience and providing technical leadership on modern Python and PySpark (or similar)
  • Experience in data manipulation on large datasets
  • Credit Risk & Banking Stress Testing: Understanding of provisioning models and stress testing frameworks
  • Testing & QA: UAT/PIV testing experience in regulated financial environments
  • Experience in code management solutions (e.g. git, GitHub)
  • Strong interpersonal, communication, and presentation skills, with the ability to articulate and document complex technical problems and control process for a non-technical audience
  • Ability to structure workload and manage multiple competing priorities.
  • Conceptual thinker with a curious mind to challenge and question the status quo and the ability to make quantitative decisions on ambiguous and complex techniques which will have an impact directly on RBC's financial statements.

Nice to Have

  • Test automation frameworks and CI/CD pipeline optimization
  • Experience with agile transformation or process improvement
  • AI-assisted development tools (GitHub Copilot, Windsurf, Claude Code)
  • Familiarity with the AWS Sagemaker environment

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Flexible work/life balance options
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Opportunities to do challenging work

Job Skills

Client Counseling, Communication, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Long Term Planning, Process Management, Quantitative Methods, Risk Management

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-25

Application Deadline:

2026-08-05

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME