Data Scientist, Non-Financial Risk Data Analytics and Valorization

Desjardins; Montreal West; On-site; CAD 85,000 - 130,000; Full time

Job summary

A leading company in the financial sector seeks a Data Scientist for its Non-Financial Risk Data Analytics and Valorization team. This role involves quantifying non-financial risks and developing advanced analytics models. Candidates should have a background in data science, with expertise in SAS, SQL, and Python, along with a Bachelor's degree in a relevant field.

Benefits

Competitive salary and annual bonus

4 weeks flexible vacation

Defined benefit pension plan

Group insurance including telemedicine

Reimbursement of health and wellness expenses

Qualifications

• 4+ years of relevant experience in data science.
• Knowledge of French is required.
• Experience in risk management and quantification.

Responsibilities

• Design, develop mathematical models for non-financial risk management.
• Identify business needs and balance them with risk management requirements.
• Monitor industry trends to update best practices.

Skills

SAS

SQL

Python

Risk Management

Data Analysis

Education

Bachelor’s degree in math, statistics, economics, finance or related field

Job description

Data Scientist, Non-Financial Risk Data Analytics and Valorization

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Required

The Analytics Department’s mission is to design, manage and facilitate the implementation of the data valorization strategy for Desjardins Group’s Risk Management Executive Division. Its goal is to achieve our strategic direction of grounding our practices in analytics and preparing for the future. It’s also responsible for standardizing and implementing governance for the Risk Management Executive Division’s models. As a Data Scientist, Non-Financial Risk Data Analytics and Valorization, you help quantify non-financial risks, make decisions and develop and maintain advanced analytics and AI models. You’ll be required to:

• Design, use and develop mathematical models for non-financial risk management and diligently prepare associated documentation.
• Identify and define business needs while balancing these needs with risk management, requirements and best practices.
• Contribute to the development of use cases by taking a forward-looking approach that’s grounded in data and analytics to achieve the Risk Management Executive Division’s strategic objectives.
• Explain information in plain language that’s appropriate for the target audience to facilitate comprehension and, if applicable, decision making.
• Monitor the industry to understand and anticipate trends in non-financial risk in order to develop and update relevant best practices for the organization.
  
  

Required

The Analytics Department’s mission is to design, manage and facilitate the implementation of the data valorization strategy for Desjardins Group’s Risk Management Executive Division. Its goal is to achieve our strategic direction of grounding our practices in analytics and preparing for the future. It’s also responsible for standardizing and implementing governance for the Risk Management Executive Division’s models. As a Data Scientist, Non-Financial Risk Data Analytics and Valorization, you help quantify non-financial risks, make decisions and develop and maintain advanced analytics and AI models. You’ll be required to:

• Design, use and develop mathematical models for non-financial risk management and diligently prepare associated documentation.
• Identify and define business needs while balancing these needs with risk management, requirements and best practices.
• Contribute to the development of use cases by taking a forward-looking approach that’s grounded in data and analytics to achieve the Risk Management Executive Division’s strategic objectives.
• Explain information in plain language that’s appropriate for the target audience to facilitate comprehension and, if applicable, decision making.
• Monitor the industry to understand and anticipate trends in non-financial risk in order to develop and update relevant best practices for the organization.
  
  

What we offer*

• Competitive salary and annual bonus
• 4 weeks of flexible vacation starting in the first year
• Defined benefit pension plan that provides predictable, stable income throughout retirement
• Group insurance including telemedicine
• Reimbursement of health and wellness expenses and telework equipment
• Benefits apply based on eligibility criteria.
  
  

What You Bring To The Table

• Bachelor’s degree in math, statistics, economics, finance or a related field
• At least four years of relevant experience in data science
• Please note that other combinations of qualifications and relevant experience may be considered
• Experience in risk management and quantification
• Knowledge of French is required
• Proficiency with SAS, SQL and Python programming tools
• Knowledge of model management standards
  
  

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Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)

Unposting Date

2025-07-11

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Banking

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