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Quantitative Model Developer Jobs in Toronto, ON

You'll work closely with Fraud Engineering and Risk Operations to move models from research to ... A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics ...

Model Onboarding Analyst

Mississauga, ON · On-site

CA$88K - CA$132K/yr

Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Finance) Master's degree preferred. Competencies: Technical Proficiency: Strong understanding of modeling tools ...

Python Developer - Pathwise

Toronto, ON · Hybrid

CA$96K - CA$125K/yr

Build and enhance automation solutions for model implementation and DevOps processes, simplifying ... Experience in actuarial, financial services, insurance, or quantitative modelling environments is ...

... quantitative skills, programming capability, clear communication, and an interest in learning financial concepts from business lines. Is this role right for you? In this role, you will: * Model ...

Showing results 41-60

Quantitative Model Developer information

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

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 are popular job titles related to Quantitative Model Developer jobs in Toronto, ON?

For Quantitative Model Developer jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Quantitative Model Developer job openings in Toronto, ON as of September 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Model Risk Manager, Capital Markets

Toronto, ON • On-site

Full-time

Posted 13 days ago


Job description

At ATB, we exist to make it possible for our clients, team members and communities. Our purpose is more than aspirational. It's a real commitment we live every day through our values (what we call the ATB ID).

Life at ATB is about more than work. In fact, we're consistently recognized as one of Canada's top employers thanks to our high-care, high-performance culture, upheld by the three commitments we make to our team members: Impact in action: No matter where you are in the organization, you're empowered to make an impact in the lives of our clients and communities. Thrive together: We want you-the unique, authentic you-to feel safe and celebrated at work.

We're on a continuous journey to build the most flexible and inclusive programs. Ready for tomorrow: We want to enable your success through interesting and challenging work, performance enablement, and learning and development. About the Role We are seeking an experienced, highly analytical, and strategic Senior Model Risk Manager to lead and to execute independent validation of high-complexity models within our Capital Markets and Market Risk portfolio.

You will execute model validations in line with the bank's Model Risk Management Policy and OSFI guidelines expectations to ensure our trading, valuation, and risk management models are conceptually sound, mathematically rigorous, appropriately implemented, and fit for use. You will act as a key liaison defending validation methodologies to internal audit and OSFI regulators, driving the continuous evolution and maturity of our model risk management frameworks in response to the growing capital markets portfolios across the model lifecycle. Accountabilities Lead and perform end-to-end independent model validations of complex capital markets models, including derivative pricing models (equity, fixed income, FX, commodities), market risk models (VaR, Stressed VaR), counterparty credit risk (CCR, CVA/XVA), and algorithmic trading strategies in accordance with internal policy and regulatory expectations.

Perform in-depth technical reviews of model methodology, assumptions, data inputs, limitations, calibration, governance, and outcomes; design and execute quantitative tests such as replication, sensitivity analysis, benchmarking, and back-testing/performance monitoring (as applicable) and provide peer review for team member and external validators. Review periodic model performance monitoring report according to model performance plan and conduct model re-validation to ensure appropriate model performance while in use. Write clear, well-structured validation reports that articulate findings, model risks, and practical recommendations for both technical and senior stakeholders; assess issue materiality/impact/severity and review remediation planning and ongoing monitoring.

Ensure validation activities and evidence are completed in accordance with internal policies/standards and relevant regulatory expectations; maintain organized working files and traceability from requirements to testing to conclusions. Partner with model owners, developers, users and risk stakeholders to understand model design and usage, while providing independent and constructive challenge; communicate validation issues and track them through resolution. Represent the Capital Markets model validation portfolio during internal audits and external OSFI regulatory examinations, by providing analysis evidence, documentation, and responses; ensure validation evidence and archived documentation are complete and suitable for independent third-party review.

Contribute to continuous improvement of the bank's Model Risk Management framework, validation standards, templates, and techniques; conduct targeted research on emerging best practices and provide guidance and mentorship to junior team members. Knowledge, Skills and Experience Ph.D. or Master's degree in a quantitative discipline (e.g., mathematics, statistics, economics, financial engineering, physics, engineering, finance, operations research or data science) or equivalent experience

5-7 years relevant experience, with a strong preference for direct experience in capital markets/market risk model validation or development. Combination of advanced degree and fewer years work experience will be considered. Strong programming skills in mathematical/statistical and database tools, particularly Python, Big Query , SQL, and Excel/VBA.

Working experience with specialized capital markets risk systems (e.g., Murex, QRM, or Calypso). Experience with Google Cloud platform is an asset. Expertise in stochastic calculus, numerical methods, Monte Carlo simulations, and statistical analysis and time-series analysis

Strong understanding of capital market and market risk modelling techniques and model risk concepts; ability to discover and diagnose risks related to data, assumptions, methodology, process, calibration and implementation. Deep familiarity with financial instruments, market structures, and risk management frameworks. Ability to independently plan and deliver validation work (scope, testing strategy, timelines, and reporting) and manage multiple validations in parallel with appropriate escalation of risks and issues.

Excellent verbal and written communication skills, and interpersonal skills; able to communicate complex mathematical concepts clearly and influence outcomes through constructive challenge and report writing. Strong analytical and problem-solving skills combined with an ability to 'see beyond the numbers', to identify issues and to understand the underlying causes of model deficiency issues. Ability to manage multiple priorities with sound judgment and accountability.

Must be able to maintain a high level of accuracy and confidentiality. Professional, friendly, courteous, respectful and highly motivated personality. CFA designation (or progress toward it) is considered a strong asset, particularly for understanding complex Capital Markets product and trading models.

Professional risk management designation (FRM or PRM) is an asset. Workplace Arrangement This position has a hybrid work arrangement. On average, this means 2 days on-site per week.

Please note that this is subject to change due to business priorities. Salary Range $124,000 to $152,000 annually, dependent on experience. Don't meet all the requirements on the list.

A resume only goes so far in expressing who you are and the unique perspectives you bring. If you believe your skills and experience align with the role-but you might not check all the boxes-we want to hear from you. We encourage candidates from all work backgrounds, equity-seeking communities and experience levels to apply.

If you're seeking a career where your drive, perspective and growth are celebrated, we want to hear from you. We're dedicated to building a workforce reflective of those within our communities, and a culture where our team members are equipped with what they need to succeed-their way. Part of creating an inclusive workplace is recognizing our role in advancing Truth and Reconciliation.

We are committed to meeting and exceeding the standards set out in the Partnership Accreditation in Indigenous Relations program created by the Canadian Council for Aboriginal Business. What happens next. If you are shortlisted, you'll hear from us after the posting closes.

Check out our How We Hire page to learn more about our hiring process. If you need any accommodations throughout this process, please let us know at talentteam@atb.com Stay in touch We're excited that you're interested in a career with ATB. Follow us on LinkedIn, Facebook and Instagram to learn more about what our team is up to.