Data Scientist - Model Validation

3d3 days ago

Desjardins Group

Montréal, CA · Full-time · C$110,000 – C$150,000

About this role

As part of its activities, Desjardins Group uses a large number of data-driven quantitative models to support its product and service offer and to properly manage its risks. As a data scientist in model validation, you help ensure that data is appropriately valued at each stage of the model’s life cycle and that predictive modelling meets required standards.

You analyze the business needs behind each model and confirm its suitability through validation. You ensure that modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives.

You use advanced and innovative statistical, machine learning and artificial intelligence methods to test the methodologies proposed by the first line of defence. You also ensure that programming for data preparation, mining, development and rollout meets required standards.

You help draft guidelines and methods, advise and train teams on quantitative model validation, and monitor the industry to anticipate trends. You ensure alignment with relevant regulatory expectations for property and casualty insurance.

Requirements

Bachelor’s degree in actuarial science, statistics, applied mathematics, engineering, data science or computer science
Minimum of six years of relevant experience including at least three years in analytics or modelling
Experience in P&C insurance (pricing, reserving, claims, capital/catastrophes, analytical marketing)
Knowledge of mathematical modelling and statistics
Proficiency in programming languages: Python, R, SQL, SAS
Proficiency with risk management models in P&C insurance such as GLM/GAM
Knowledge of French is required; intermediate knowledge of English

Responsibilities

Ensure that modelling processes make appropriate use of available data based on characterization, quality and processing
Ensure that predictive modelling is carried out according to required standards through the validation process
Analyze the business needs behind the model and confirm the model’s suitability through validation
Use advanced statistical, machine learning and artificial intelligence methods to test 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
Identify opportunities to optimize rules and systems and help develop data management and modelling support tools
Monitor the industry to understand and anticipate trends in model validation and ensure alignment with P&C insurance regulatory expectations