Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- 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
Job title
Job type
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Not specified
Degree requirement
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