Data Scientist ensuring model validation and risk management at Desjardins Group. Collaborating on data-driven models to support products and mitigate risks.
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
A minimum of four years of relevant experience, including at least three years of analytical experience
Knowledge of French is required
Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
Proficiency in risk management models in at least one of the following areas:
Credit: Scoring models, shadow ratings, IFRS 9 and regulatory parameters (PD, LGD, EAD, SICR, ECL, for example), including economic capital calculation and stress testing using SAS, Python, MATLAB and RiskFrontier
Liquidity: Pre-payment models, LCR, NCCF including economic capital calculation and stress testing using QRM and Python
Knowledge of mathematical modelling and statistics
Knowledge of programming: C++, SQL, Python, MATLAB, VB, SAS
Knowledge of the banking industry
Knowledge of Basel regulations
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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