At Fairstone, our culture is built on strong values and leadership principles that define the expectations we have for working together and with our customers. We help Canadians find the right solution to meet their needs with a variety of products and services. Our values and principles guide the actions we take to ensure our customers get the best experience possible.

Be part of our talented and growing team! We are currently looking for a Sr Analyst, Model Development & Validation, to join our team reporting to the Manager, Model Validation. This is a temporary 1 year contract role.

As a Sr Analyst, Model Development & Validation, you will work on projects related to the management of end-to-end model lifecycle, from development, validation, implementation, monitoring, and maintenance of credit risk scoring models. The ideal candidate should have practical experience in building predictive models using statistical methods such as logistic regression & advanced machine learning techniques, validating models to mitigate the model risks under the model governance, as well as excellent data manipulation skills in SAS & SQL.

"Be a part of our inclusive workplace where diverse perspectives drive innovation and excellence."

WHY JOIN US?

BECAUSE WE ARE PROUD TO BE One of Montreal's Top Employers for 2025 for the fifth consecutive year by the editors of Canada's Top 100 Employers.

We Offer

• Work-Life Balance: Our 37.5-hour workweek and hybrid model (3 days in-office) promote a healthy balance.
• Wellness: Tailored well-being solutions available 24/7.
• Development: Access to Fairstone Academy for comprehensive training and skill development.
  
  

WHAT WILL YOU WORK ON?

• Develop and validate custom risk management & marketing models using various modeling techniques including Decision Trees, Logistic Regression, and advanced Machine Learning algorithms
• Support operational model implementation by liaising with related parties to ensure the models are deployed accurately and promptly
• Support the model validation team to mitigate the model risks. Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process, and implementation. Provides subject matter expertise on model's strength and weakness and recommend practical solutions
• Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed
• Develop, maintain, and review model monitoring process on ongoing basis
• Develop and maintain documentation in preparation for regulatory requirement
• Liaise with external partners such as credit bureaus and modeling consultants, to ensure credit bureau data needs and analytic requirements are met
• Keep abreast of new statistical and machine learning techniques and tools, and industry best practices to predictive modeling
• Provide technical guidance, proactive support, and data-driven recommendations to management from predictive modeling perspective
• Communicate and present key findings to both technical and non-technical internal business stakeholders leveraging visualization tools and techniques
  
  

Who Are We Looking For

• 2+ years work experience in analytics and predictive modeling in a financial services industry, preferably in Credit Risk Analytics setting & 2+ years of work experience in SAS and SQL
• Bachelor’s Degree in quantitative field such as statistics, economics, actuarial sciences, engineering, or mathematics
• Demonstrated understanding of credit risk model development, validation and monitoring techniques
• Strong data science capabilities, with proven experience in manipulating data using SAS and SQL
• Knowledge of statistical techniques and concepts (regression, Bagging & Boosting, clustering, etc.) with the skill to determine the appropriateness of a technique for a given business problem
• Experience working with very large databases, data mining and/or data warehousing
• Expert skill level with Microsoft Excel pivot tables, index match functions and Microsoft Access or other database management software
• Demonstrated technical expertise with a good understanding of financial products, of industry-specific Risk and Analytics tools and of the credit risk life cycle
• Knowledge of and expertise in developing and validating loss forecasting and provisioning models (IFRS9, Basel…) is a strong asset
• Experience with AWS data science and modeling tools or Altair knowledge studio are considered an asset
• Strong communication skills (oral and written) and the ability to interact with all levels of the organization
• Ability to handle multiple projects simultaneously while maintaining quality and meeting expectations in a fast-paced environment
• Strong attention to detail and the ability to be flexible and adaptable to a changing environment
  
  

**This role is vacant**

WE ARE PROUD TO BE: Montreal's Top Employers 2025 by Canada’s Top 100 Employers!

Learn more: https://www.fairstone.ca/en/about/canadian-lender

Follow us on LinkedIn: https://www.linkedin.com/company/fairstone/mycompany/

If you have a preferred language for communication, please kindly inform us whether you prefer French or English on your application.

Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence.

Time Type

Full time

Job Type

Temporary (Fixed Term)