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Quantitative Model Developer Jobs in Toronto, ON

You will collaborate closely with quantitative analysts, traders, and infrastructure teams to ... Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're ...

As an Applied Scientist on the team, you will bring deep expertise in quantitative modeling ... You will be part of a team of fellow scientists and engineers taking on iterative approaches to ...

As a part of our team, you will bring deep expertise in Generative AI and quantitative modeling ... engineers taking on iterative approaches to tackle big, long-term problems. Why you will love this ...

As a part of our team, you will bring deep expertise in Generative AI and quantitative modeling ... engineers taking on iterative approaches to tackle big, long-term problems. Why you will love this ...

Transparency Pricing & Risk Developer

Toronto, ON ยท On-site

CA$126K - CA$164K/yr

This is a global team with engineers in Toronto, London, New York and Singapore. We use the ... Ability to work with sales/trading/quant teams on implementing pricing/risk model requirements.

Apply data modeling principles and data warehousing concepts * Design database schemas and data ... quantitative discipline * 3+ years of experience in data engineering, data development, or related ...

Senior Machine Learning Developer

Toronto, ON ยท Hybrid

CA$155K - CA$180K/yr

This role is eligible for our hybrid work model: Two days in-office. Machine Learning Developer The ... Bachelor's or Master's degree in a quantitative field such as Computer Science, Machine Learning ...

Post-secondary engineering or business degree from a recognized university. A professional risk ... Expert knowledge of quantitative models of cost and schedule, including quantitative risk analysis ...

... quantitative modeling techniques such as Sequential Recommender Systems, Deep Learning ... You will be part of a team of fellow scientists and engineers taking on iterative approaches to ...

Post-secondary engineering or business degree from a recognized university. A professional risk ... Expert knowledge of quantitative models of cost and schedule, including quantitative risk analysis ...

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Showing results 1-20

Quantitative Model Developer information

What are the key skills and qualifications needed to thrive as a Quantitative Model Developer, and why are they important?

To excel as a Quantitative Model Developer, you need strong mathematical and statistical skills, proficiency in programming languages like Python, R, or C++, and typically a degree in mathematics, statistics, computer science, or a related field. Experience with modeling frameworks, data analysis tools, and familiarity with quantitative finance platforms such as MATLAB or QuantLib are commonly required. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with cross-functional teams. These abilities are essential for developing accurate, reliable models that inform financial decision-making and risk management.

How does a Quantitative Model Developer typically collaborate with other teams within a financial institution?

Quantitative Model Developers frequently work alongside risk management, trading, and IT departments to ensure that financial models are both robust and aligned with business objectives. They often translate complex mathematical concepts for stakeholders, assist in model implementation, and respond to feedback or changing requirements. Collaboration is key, as they must ensure models are technically sound, regulatory compliant, and seamlessly integrated into production systems. Regular communication and interdisciplinary teamwork are essential for resolving challenges and delivering effective solutions.

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

AspectQuantitative Model DeveloperQuantitative Analyst
Primary FocusDesigning, developing, and implementing quantitative modelsAnalyzing data to inform trading, investment, or risk decisions
Skills & CertificationsProgramming (Python, C++, R), quantitative finance, model developmentData analysis, statistical skills, financial knowledge
Work EnvironmentQuant teams in finance firms, hedge funds, banksResearch teams, trading desks, investment firms
Common UsageBuilding models used in trading algorithms and risk managementInterpreting data to support investment strategies

While both roles require quantitative skills and finance knowledge, Quantitative Model Developers focus on creating and coding models, whereas Quantitative Analysts analyze data to guide decisions. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What does a Quantitative Model Developer do?

A Quantitative Model Developer designs, implements, and maintains mathematical models used in finance, banking, or other industries to analyze data and support decision-making. They use programming languages, statistical techniques, and financial theory to develop models for tasks such as risk assessment, pricing, or forecasting. These professionals work closely with traders, analysts, and other stakeholders to ensure the models are accurate, efficient, and aligned with business goals.
What job categories do people searching Quantitative Model Developer jobs in Toronto, ON look for? The top searched job categories for Quantitative Model Developer jobs in Toronto, ON are:
Infographic showing various Quantitative Model Developer job openings in Toronto, ON as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Hybrid job distribution.
Associate Director, Credit Modeling & Methodology

Associate Director, Credit Modeling & Methodology

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Posted 17 days ago


Job description

Job Description

What is the opportunity?

The Associate Director, Credit Modeling & Methodology will support the model development team responsible for developing credit risk models and analytics tools used in the measurement of Expected Credit Loss, Provision for Credit Losses, Allowance for Loan and Lease Losses as well as for Stress Testing purposes.

This role will assist the Director, Credit Modeling & Methodology in various model development initiatives spanning from data engineering (in order to construct the modeling data), development of modeling methodologies, model testing and implementation.

We are looking for a bright, committed, high-performing individual to become a key contributor on the model development team. The preferred candidate should have a quantitative background and will be a key contributor in model development processes. We are a team that prides itself in high quality work with significant impact across the bank and continuous interaction with other groups, senior management and regulators. Given the nature of our work, the opportunity to learn, grow and expand your network is significant.

What will you do?

  • Develop, document, and implement Credit Risk Models for use in IFRS-9, CECL, CCAR, Stress Testing (EWST, MST).
  • Identify, communicate and troubleshoot modelling challenges, including related to data quality.
  • Deliver sound quantitative methodologies and the results from employing them.
  • Be agile in response to evolving model user requirements and competing priorities.
  • Conduct model development work with strong attention to detail; validate material model assumptions and limitations, and identify potential errors before they arise.
  • Present quantitative materials, concisely and accurately, internally as well as to key stakeholders.
  • Support Business Review, Model Validation, User-Acceptance Testing, Internal Audit and External Audit or Regulatory Review of Credit Risk Models.
  • Develop an organizational awareness, understanding process flows of data through model development through model users and impact to key business stakeholders.
  • Provide comprehensive documentation as a key component of the work product.

What do you need to succeed?

Must-have

  • Master's Degree in quantitative field of study or equivalent
  • Strong predictive modeling background and analytical problem solving skills
  • Strong communication skills
  • Effective in translating technical expertise into business language that drive insights
  • Hands-on experience with SAS or Python.

Nice-to-have

  • Experience in credit risk modelling; familiar with financial credit products and relevant regulatory guidelines (e.g. IFRS9)
  • Expertise in navigating an Enterprise Data Warehouse, experience with Hadoop environments, R or other tools

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
  • Leaders who support your development through training and coaching
  • Work with a dynamic, collaborative team with ability to make a difference

Job Skills

Client Counseling, Competitive Markets, Critical Thinking, Financial Instruments, Financial Regulation, Investment Risk Management, Long Term Planning, 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:

2026-05-25

Application Deadline:

2026-06-09

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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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