Data Scientist building IFRS 9, behavioural, and predictive credit - risk models for Financeit’s Canadian point - of - sale financing platform. Automating analytics and translating borrower data into actionable risk insights.
About the role
- Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data-driven business decisions.
Responsibilities
- Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and selection of predictors for complex predictive modeling mandates
- Analyze client and partner business needs, generate hypotheses and lead mandates through operationalization and rollout
- Apply advanced statistical, machine learning and artificial intelligence methods to develop and optimize models and segmentations
- Create programming to prepare and mine data, and develop, evaluate, support, roll out and manage complex models
- Prepare presentations and data visualizations to support business decisions and management consideration
- Draft guidelines and data modelling methods, support documentation, and prepare and deliver training
- Identify opportunities to improve rules and systems, anticipate impacts of changes and enhance data management tools
- Advise stakeholders and decision-making bodies on data use, and act as a subject matter expert and coach
- Interact with stakeholders across fields to understand issues, communicate findings and influence decision-making
Requirements
- Bachelor's degree in a related field
- A minimum of six years of relevant experience
- Other combinations of qualifications and relevant experience may be considered
- Academic specialization in a quantitative field (e.g., Certificate, Master's degree, or PhD)
- Knowledge of French is required for positions in Quebec
- Advanced proficiency 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
- Advanced statistical, machine learning and artificial intelligence knowledge
- Data mining, feature engineering, quality inspection and predictor selection expertise
- Programming skills for data preparation, mining and complex model development
- Ability to prepare data visualizations and management presentations
- Knowledge of data modelling methods, documentation and training delivery
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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