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Quantitative Modeling Jobs in Ontario (NOW HIRING)

Quantitative Developer with MatLab

Toronto, ON · Hybrid

CA$130K - CA$140K/yr

Model Development & Deployment:Design, build, deploy, and support robust, production-grade quantitative models and portfolio optimization tools that enhance investment decision-making. * Technical ...

Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for portfolio analytics, valuation, and risk measurement. * Work closely with ...

Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for portfolio analytics, valuation, and risk measurement. * Work closely with ...

Then we've got the job for you! We're looking for a Quantitative Researcher to join our team and help us generate profits through complex financial modeling and lightning-fast algorithmic trading.

Then we've got the job for you! We're looking for a Quantitative Researcher to join our team and help us generate profits through complex financial modeling and lightning-fast algorithmic trading.

CA$100K - CA$135K/yr

This role is a support role for front office traders with the potential to move to a more quantitative modeling role. The specific tasks will include, but are not limited to following: * Supporting ...

PhD with 3 years, MS or MA with 6 years, or BS or BA with 8 years of data science or quantitative modeling experience * Proficiency in SQL and a computing language such as Python or R * Experience in ...

The Cat Modeling team supports risk transfer decisions founded on our scientifically based view of ... A bachelor's or master's degree in the above-mentioned fields or other related quantitative ...

The ideal candidate will combine quantitative modeling expertise, programming capability, and practical familiarity with credit risk, stress testing, or climate risk analytics. Department Overview ...

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Showing results 1-20

Quantitative Modeling information

See Ontario salary details

$33K

$141.7K

$264K

How much do quantitative modeling jobs pay per year?

As of Jul 31, 2026, the average yearly pay for quantitative modeling in Ontario is $141,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $175,000.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. These models help organizations optimize strategies and manage uncertainties effectively.

What jobs pay 500,000 a year in the US?

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What job makes $1,000,000 a year?

In quantitative modeling, high-level roles such as senior quantitative analysts, hedge fund managers, or chief investment officers can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, data analysis, or risk management.

What is the highest paid modeling job?

In quantitative modeling, senior roles such as Quantitative Research Director or Head of Quantitative Strategies tend to have the highest salaries, often exceeding $200,000 annually, especially in major financial centers. These positions require advanced skills in mathematics, programming, and financial theory, and may include bonuses and profit-sharing components.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are the key skills and qualifications needed to thrive in the Quantitative Modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What are popular job titles related to Quantitative Modeling jobs in Ontario? For Quantitative Modeling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling jobs in Ontario look for? The top searched job categories for Quantitative Modeling jobs in Ontario are:
What cities in Ontario are hiring for Quantitative Modeling jobs? Cities in Ontario with the most Quantitative Modeling job openings:
Infographic showing various Quantitative Modeling job openings in Ontario as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $141,744 per year, or $68.1 per hour.

Quantitative Finance Internship Winter 2027

CPP Investments

Toronto, ON

Full-time

Posted 3 days ago

New


Job description

Purpose.Performance. People.


Joining CPP Investments means joining one of the world's most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.

With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.

For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here,you'llcontribute to outcomes that matter alongside team members committed to excellence and shared success.


The Role


We are recruiting Quantitative Finance Interns for the Winter 2027 term. This four-month internship, beginning in January 2027, offers students the opportunity to gain hands-on experience supporting investment professionals across a range of quantitative finance teams.


The Team


Public Credit - Credit Investments

Team Overview: The Public Credit (PC) group invests in investment and sub-investment grade, public, single-name credits (such as corporate credits in an individual company) and credit indexes globally across all sectors. The group invests in liquid credit products across the capital structure with a focus on products with higher credit ratings. Instruments include corporate bonds, hard-currency sovereign debt, credit exchange-traded funds, credit derivatives, asset-backed securities, residential mortgage-backed securities and collateralized loan obligations. PC also manages the Supplementary Credit Pool portfolio, a passive portfolio of high grade global corporate bonds.

What you'll do:

  • Leverage programming skills in Python and SQL to develop and enhance proprietary analytical tools.

  • Enhance risk reporting and performance analysis tools.

  • Collaborate with portfolio managers and the Quantitative team to improve models.

  • Monitor credit markets and macro environment to contribute to research and trade ideas.

  • Conduct ad-hoc analysis on portfolio management, market structure, and investment opportunities.

Quantitative Models, Applied Research and Models - Total Fund Management

Team Overview:The Quantitative Models team within TFM develops and delivers advanced analytical models and tools - spanning risk modeling, portfolio optimization, and asset allocation - to support data investment decisions at the total fund level.

Whatyou'lldo:

  • Contribute to implementing components of investment models and portfolio analytics

  • Collaborate with quant researchers and portfolio managers to clarify specifications and interpret results

  • Assess and communicate the impact of modeling changes on portfolio metrics

  • Contribute to maintaining existing models and tools managed by the team

Dynamic Portfolio Management - Total Fund Management

Team Overview:Dynamic Portfolio Management designs and optimizes the total portfolio by leveraging diversification, investment selection, and tactical positioning, while managing factor exposures and global rebalancing to maximize long-term returns without undue risk.

What you'll do:

  • Under the guidance of senior team members, contribute to the design and implementation of portfolio management tools within DPM.

  • Participate in the design and development of analytic enhancements, to support investment decisions

  • Assist in preparing presentation materials and presenting investment recommendations.

  • Communicate complex analysis in clear, tailored formats, synthesizing actionable insights for the team.

  • Stay up to date with markets and macroeconomic trends to identify opportunities and risks related to fund exposures.

Beta,Collateral, and Liquidity Management (BCLM)- Total Fund Management

Team Overview: Theteamworks in partnership with groups across TFM andis responsible forthedeliveryof the total Fund'sEquity and Fixed IncomeBalancing Portfolios,collateral optimization,leverage,andpublic marketliquidityportfolios.

What you'll do:

  • Helping our teamwith day-to-dayportfolio management,collateraland/orfinancingactivities on the desk,such asrisk analysis, profit- and-loss attributionand other analysis.

  • Developingondesk analyticaltools.

  • Ad-hoc projectsanalyzing topicssuch as portfolio management, trading,collateral,marketstructureand financing opportunities.

Qualifications

  • Currently pursuing an undergraduate or graduate degree in STEM, business, finance, economics, mathematics, engineering, computer science, or related field, graduating Aug 2027 or later, with excellent academic performance.

  • Strong problem-solving, analytical, written and verbal communication skills; ability to manage multiple priorities and thrive in a collaborative, dynamic environment.

  • Programming experience in Python (strongly preferred) with exposure to TypeScript, SQL, database management (MySQL, SQL Server, Oracle), and other languages (C++, Java, R, VBA) considered an asset.

  • Experience with AI-assisted coding tools and the ability to leverage them effectively to enhance modeling and portfolio analysis are assets.

  • Interest in finance, global markets,trading, investmentmanagement, and market structure, investment management, capital markets, modern portfolio theory, and quantitative portfolio techniques; background or interest in numerical analysis, optimization, linear algebra, or software design is an asset.


You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself tohigh standardsin a collaborative, performance-driven environment.


We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.

Inclusion & Accessibility

CPP Investments is committed toequitableaccess to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Attention: Protect Yourself from Fraud

CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.


CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.


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