Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- Data Scientist responsible for validating complex quantitative models at Desjardins Group. Analyzing business needs and ensuring quality standards in predictive modeling processes for decision-making.
Responsibilities
- Ensure that modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives
- Ensure that predictive modelling is carried out according to the required standards and that Desjardins Group’s quality criteria are met through the validation process
- Analyze the business needs behind the model and confirm the model’s suitability through validation
- Ensure that the programming required to prepare and mine data, and to develop, evaluate, support, roll out and manage highly conceptually complex and innovative models meets the required standards
- Use advanced and innovative statistical, machine learning and artificial intelligence methods to test the methodologies proposed by the first line of defence
- Help draft guidelines and methods and shape methodological and technological choices
- Advise and train teams on quantitative model validation methods and update them to improve delivery speed
- Identify opportunities to optimize rules and systems, anticipate underlying impacts of changes and help develop data management and modelling support tools
- Represent teams with various internal interested parties
- Monitor the industry to understand and anticipate trends in your field of expertise in model validation, with a view to developing and updating practices that are contextually appropriate for the organization
Requirements
- Bachelor’s degree in a related field (actuarial science, statistics, applied mathematics, engineering, data science, computer science)
- A minimum of six years of relevant experience, including a minimum of three years in analytics or modelling
- Knowledge of French is required
- Intermediate knowledge of English due to the nature of the duties or work tools
- Knowledge of mathematical modelling and statistics
- Proficiency in programming languages: Python, R, SQL, SAS
- Proficiency with risk management models in at least one of the following areas: Pricing and underwriting in P&C insurance, Reserving and valuation of liabilities, Loss management and fraud prevention, Client behaviour and distribution, Catastrophe risk and capital
- Knowledge of property and casualty insurance
- Knowledge of regulatory frameworks applicable in Canada
Benefits
- 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
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