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Modelling Jobs in Ontario (NOW HIRING)

PwC

Credit Risk Modelling Senior Associate

Toronto, ON · Hybrid

CA$73K - CA$122K/yr

Meaningful workyou'llbe part of As a Credit Risk Modelling Senior Associate,you'llwork as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.

J.D. Irving

Data Modelling Co-op - Fall 2026

Toronto, ON

CA$25.50 - CA$27.70/hr

Data Modelling * Creating KPIs and Business Intelligence Dashboards * Data base querying (SQL) * Coding in HTML * User Interface design * Be a leader cultivating a culture of data-based decision ...

J.D. Irving

Data Modelling Co-op - Fall 2026

Toronto, ON

CA$25.50 - CA$27.70/hr

Data Modelling * Creating KPIs and Business Intelligence Dashboards * Data base querying (SQL) * Coding in HTML * User Interface design * Be a leader cultivating a culture of data-based decision ...

FNZ

Sr. Business Process Analyst

Toronto, ON · On-site

The role balances hands-on modelling expertise with leadership in methodology,deepindustry knowledge,quality assurance, and capability development across the Process Analysis team.

FNZ

Business Process Analyst

Toronto, ON

Coordinate with Project Managers to understand modelling timelines, deliverables, and priority focus areas. * Engage Business Readiness teams to ensure process artefacts support downstream ...

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All JobsModelling JobsModelling Jobs in Ontario

Modelling information

See Ontario salary details

$12

$48

$81

How much do modelling jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for modelling in Ontario is $48.78, according to ZipRecruiter salary data. Most workers in this role earn between $36.30 and $61.54 per hour, depending on experience, location, and employer.

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

To thrive as a Model, you need physical fitness, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

How to be a face model?

To become a face model, you should maintain clear, healthy skin and a versatile look that suits various brands. Building a professional portfolio with high-quality photos, networking with agencies, and attending castings or open calls are essential steps in establishing a modeling career focused on facial features.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Is 25 too late to model?

Modeling is a career that can be pursued at any age, including at 25. Success often depends on factors such as look, confidence, and professionalism, rather than age alone. Many models start in their mid-20s or later and build successful careers with the right portfolio and networking.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good understanding of industry standards, maintaining a healthy appearance, and developing relevant skills like posing and runway walking can improve chances of success.

How much money do models make?

Modeling salaries vary widely based on experience, type of modeling, and market demand. Top fashion models can earn millions annually, while beginner or freelance models may earn a few hundred dollars per day or per assignment. Income often depends on factors such as portfolio quality, agency representation, and the number of bookings.

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.
Modelling jobs near you
Infographic showing various Modelling job openings in Ontario as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $101,460 per year, or $48.8 per hour.

Senior Analyst, Treasury Modelling

EQ Bank | Equitable Bank

Toronto, ON

Full-time

Posted 25 days ago

Job description

Purpose of Job 

The Treasury Modelling team within the Treasury group is responsible for the management of the department's programmed modelling solutions along with providing analytical support, behavioural modeling and help to achieve operational efficiencies.  This role is a multi-faceted one, as responsibilities include supporting Treasury's programming and quantitative analysis. The incumbent will be instrumental in automating complex departmental models. 

The Work!

Develop efficient processes for quantitative models (30%) 

  • Build programmed solutions and processes based on requirements from the Treasury and Capital Markets team. 

  • Automate existing spreadsheet-based analysis and to replicate results from other platforms.  

  • Efforts will focus on funds transfer pricing models/ margin reporting, hedge accounting report, duration calculation, liquidity matching, stress testing, liquidity regulatory reporting etc.  

  • The incumbent will ensure all processes are documented as per the Bank documentation standards. 

Develop complex behavioural models (30%) 

  • The position supports and provides analytical support to Treasury team members (Liquidity, IRR, etc.) with (customer) behavioral analysis of various asset and liability products. 

  • Review existing behavioural analysis and enhance analysis where beneficial (i.e. initial focus is most highly sensitive assumptions). Streamline analysis processes.  

  • Develop new behavioural analysis as required. Requires the review of existing data and expanding where needed. Requires understanding of result sensitivity to assumptions and of drivers of customer behaviour.  

  • Document all analysis methods and present analysis for approval by Senior Management (i.e. ALCO). Integrate assumptions into IRR/liquidity modeling.  

  • Platform expected to be used are SQL and Python.  

Departmental Analytics Support (20%) 

  • Support other Treasury, Finance and corporate requests. This includes the following:

  • Support Treasury function with additional development. Provide reports for ALCO and ERM meetings. This includes liquidity or interest rate analysis as required (product volume, yields, spreads, option costs). 

  • Support accounting, capital markets and investor relation functions with required analysis and reporting. 

  • Provide support as a subject matter expert on programing / coding.  

Ensure Compliance to Model Governance (20%) 

  • Ensure all models, processes, and associated controls are documented. 

  • Assist in Model Validation process for new and existing models. 

  • Perform regular performance monitoring as per model requirements 

Your Experience!

  • Undergraduate degree with a focus on math and/or computer science.  

  • 3 to 5 years of experience in financial model programming. 

  • Strong programming experience and database management knowledge using SQL and Python are needed. 

  • Strong skills in problem solving, logical thinking, process building and analytics. 

  • Awareness of machine learning (including deep learning) and underlying models (LSTM, convolution, deep and shallow layers) 

  • Keen interest in financial markets and financial engineering, strong desire and ability to learn new financial concepts.  

  • Demonstrated understanding in fixed-income financial concepts (i.e. bonds, mortgages, derivatives and yield curves) is an asset.  

  • Knowledge of Liquidity risk, Interest rate risk and hedge accounting will be helpful. 

  • Ability to collaborate with various functional support groups. 

  • Excellent interpersonal and communication skills both written and verbal. 

  • Ability to pay attention to details. 

  • Possess good business acumen. 

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