FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Data Scientist, Model Validation
Desjardins. Ensure modelling processes appropriately use available data based on characterization, quality, and processing .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in predictive modelling, statistical analysis, and machine learning methods, with a strong focus on P&C insurance and regulatory compliance. Proficient in data preparation and management, ensuring alignment with industry standards and best practices.
Highest-signal resume keywords
Predictive ModellingStatistical AnalysisMachine LearningPython ProficiencyP&C Insurance Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModellingData AnalysisMachine Learning MethodsMathematical ModellingRisk Management ModelsSAS ProficiencySQL ProficiencyR ProficiencyData PreparationModel Validation
Soft Skills
Team TrainingStakeholder RepresentationAnalytical ThinkingCommunication
Industry Keywords
P&C InsuranceRegulatory ComplianceIFRS 17Model Risk ManagementMCTAMF/OSFI GuidelinesAnalytical MarketingClaims ManagementCapital ManagementReservoir Management
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Ensure modelling processes appropriately use available data based on characterization, quality, and processing
- Validate predictive modelling against required standards and Desjardins Group quality criteria
- Analyze business needs and confirm model suitability through validation
- Ensure programming for data preparation, mining, model development, evaluation, support, rollout, and management meets standards
- Use advanced statistical, machine learning, and artificial intelligence methods to test methodologies
- Help draft guidelines and methods and shape methodological and technological choices
- Advise and train teams on quantitative model validation methods
- Identify opportunities to optimize rules and systems and develop data management and modelling support tools
- Represent teams with internal stakeholders
- Monitor industry trends and update model validation practices
- Ensure alignment with regulatory expectations for P&C insurance
Requirements
What you’ll need- Bachelor’s degree in a related field (actuarial science, statistics, applied mathematics, engineering, data science, computer science)
- Minimum of six years of relevant experience, including a minimum of three years in analytics or modelling
- Experience in P&C insurance (pricing, reserving, claims, capital/catastrophes, analytical marketing)
- Other combinations of qualifications and relevant experience may be considered
- Knowledge of French is required
- Intermediate knowledge of English
- Knowledge of mathematical modelling and statistics
- Proficiency in Python, R, SQL, and SAS
- Proficiency with risk management models in at least one specified P&C insurance area
- Knowledge of property and casualty insurance
- Knowledge of Canadian regulatory frameworks, including model risk management expectations, IFRS 17, MCT, and AMF/OSFI guidelines
Benefits
Comp & perks- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses
- Reimbursement of telework equipment