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Modelling Jobs in Montreal, QC (NOW HIRING)

ALS

Geodata Scientist

Montreal, QC · Remote

You will deliver consulting projects focused on prospectivity analysis, geoscience data integration, and predictive modelling, collaborating with clients and internal teams to produce actionable ...

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All JobsModelling JobsModelling Jobs in Montreal, QC

Modelling information

See Montreal, QC salary details

$12

$48

$80

How much do modelling jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for modelling in Montreal, QC is $48.64, according to ZipRecruiter salary data. Most workers in this role earn between $36.20 and $61.36 per hour, depending on experience, location, and employer.

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.

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

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.

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.

Do beginner models get paid?

Beginner models can get paid, but the amount varies depending on the type of modeling, the market, and the agency. Some beginner models work for free or for portfolio development, while others earn hourly or project-based fees once they gain experience and build a portfolio. Payment terms are typically outlined in contracts or agency agreements.

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 appearance, confidence, and understanding of industry standards can improve chances of success.
Modelling jobs near you
Infographic showing various Modelling job openings in Montreal, QC as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 45% In-person, 33% Hybrid, and 22% Remote job distribution, with an average salary of $101,175 per year, or $48.6 per hour.

Senior Data Scientist Model Validation

National Bank

Montreal, QC • Hybrid

Full-time

Medical, Retirement

Posted 14 days ago

Job description

A career as a Senior Data Scientist, Validating models in the Risk Management Models team at National Bank means acting as a specialist who ensures the robustness, reliability and regulatory compliance of credit risk models. This position allows you to have a concrete impact on the financial strength of the organisation thanks to your expertise in statistical modelling, independent validation and regulatory frameworks.

Your role is key : You help strengthen the Bank's regulatory credibility and support rigourous governance of the models used for regulatory capital, ICAAP, IFRS 9 and stress testing exercises.


Your job

  • Assess the conceptual soundness of credit risk models, including mathematical formulation, statistical rigour, assumptions, limitations and alignment with regulatory requirements and internal standards
  • Analyze the quality, relevance and integrity of the data used in the models, including key assumptions, exclusions, outliers and documentation quality
  • Test the performance and accuracy of models using robustness and stability analyses, sensitivity tests, benchmarks and impact analyses
  • Identify model uncertainties and limitations, assess the overall level of model risk and ensure that issues are understood, documented and adequately escalated in the governance framework
  • Draft clear, rigourous and well-structured validation reports highlighting findings, conclusions and impacts on the use of models and risk management
  • Support the team during regulatory reviews, internal and external audits by providing solid technical expertise and high-quality documentation.
  • Maintain collaborative relationships and act as an expert·with key stakeholders (modelling teams, model owners, model risk management and senior management) by providing independent judgement, expert advice·and sound recommendations.
  • Recommending and implementing improvements to the validation framework and practises in order to meet internal needs and align with regulatory requirements and industry practises.


Your team

Within the Risk Management sector, you are part of a team specialised in credit risk model validation and you report to the Senior Manager - Model Validation. The team stands out for its in-depth technical expertise, independence of judgement and ability to influence decisions in demanding regulatory contexts. We work diligently, collaboratively and proactively to ensure sound and compliant governance of models across the Bank.

Our goal is to offer you maximum flexibility to promote your quality of life, thanks to a hybrid work environment and flexible work schedules.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.


Prerequisites

  • A master’s or bachelor’s degree in statistics, actuarial science, finance, economics, mathematics or a related quantitative field
  • Approximately five years or more of relevant experience in a financial institution, credit risk modelling and/or model validation
  • Advanced expertise in statistical methods and credit risk modelling, including key parameters such as probability of default, loss given default and exposure at default (e.g., PD, LGD, EAD).)
  • Solid knowledge of ICAAP and IFRS 9 frameworks and their governance and modelling implications
  • Master the Basel II and III regulatory framework and its application to credit risk models and capital requirements.
  • Excellent knowledge of analytical and programming tools such as SAS Viya, SAS Enterprise Guide, SQL Python, MATLAB, R or equivalent.
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.
Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!

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