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Modelling Jobs in Toronto, ON (NOW HIRING)

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

Primary Responsibilities The primary duty of the CFD Engineer / Analyst is to aid in modelling efforts using computational fluid dynamics (CFD) software that will optimize building designs, deliver ...

Are you ready to lead complex water modelling initiatives that shape resilient and sustainable communities? At GEI Consultants, we are seeking a Senior Water Modeller with deep technical expertise ...

Preparation of civil drawings and details from conception to final design in a 3D modelling environment such as Civil 3D, according to established standards and procedures for a wide variety of sites ...

New position As an AI Developer within Aon Life Solutions , you will help design and develop innovative Generative AI solutions that support actuarial modelling and business decision-making. Working ...

Showing results 41-60

Modelling information

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.
Infographic showing various Modelling job openings in Toronto, ON as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Manager, IFRS9 Modelling & Analytics (Contract until April 2027)

Toronto, ON • On-site

Scotiabank
Banking and Credit Intermediation • 10K+ employees

Full-time

Re-posted 16 days ago


Key responsibilities

  • Assess detailed business requirements for integration of new IFRS 9 models into production workflows and generate technical solutions.

  • Assist with testing and integration of IFRS 9 models into larger IT workflows in development and staging environments for production deployment.

  • Assist with running business-as-usual processes to analyze macroeconomic forecasts, IFRS 9 model outputs, and changes in expected credit losses.


Job description

Requisition ID: 269124 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Contributes to the overall success of the Enterprise Stress Testing's IFRS 9 analytics and modelling function in Canada, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team's business strategies and objectives.  Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

Is this role right for you? In this role, you will:

 
  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
  • Assess detailed business requirements for integration of new IFRS 9 models into production workflows, and generate technical solutions, leveraging industry best practices for design and implementation.
  • Work with model developers to adopt their development code into production-ready cloud functions in GCP.
  • Assist with testing and integration into larger IT workflows in development and staging environments in preparation for production deployment.
  • Assist with running business-as-usual processes used to analyze macroeconomic forecasts, IFRS 9 model outputs, and changes in expected credit losses.
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
  • Champions a high performance environment and contributes to an inclusive work environment.

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

  • 2+ years of Development experience in Python using NumPy, pandas, and PySpark
  • Knowledge of R with ability to update existing processes and/or translate R code to Python
  • Hands-on experience in creating, developing, and successfully deploying machine learning models, data pipelines, and/or advanced analytics workflows
  • Hands on experience with Linux and Git
  • A high degree of flexibility, strong organizational and time management skills are required.
  • Adapts to change quickly and adjusts work accordingly in a positive manner.
  • Strong problem-solving, collaboration, and communication skills.
  • An advanced degree in Computer Science, Engineering, Mathematics, Physics, Engineering or other quantitative discipline
  • Previous financial industry, credit risk, or IFRS 9 experience is a bonus

What's in it for you?

  • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • Your career matters! You will have access to career development and progression opportunities.

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.