Data Scientist developing and updating fraud detection models for credit applications at Desjardins. Collaborating with stakeholders to enhance fraud detection mechanisms in digital environments.
Responsibilities
Develop and update fraud detection models and rules related to the new self-service credit application journeys.
Create, calibrate and monitor the performance of models and rules.
Analyze emerging and complex fraud patterns for self-serve digital journeys and recommend adjustments.
Research, design and improve features related to fraudulent behaviour.
Work with business partners and fraud teams to translate operational needs into practical analytical solutions.
Help document and understand models and their performance and explain them to stakeholders.
Help solve analytical issues involving business, technological and regulatory constraints.
Requirements
Bachelor’s degree in computer science, statistics, mathematics, data science or a related field
At least four years of relevant experience in quantitative analysis, modelling or data science
Experience developing and deploying advanced analytics or predictive solutions
Experience with transactional or decisioning data
Experience working with cloud platforms such as CP4D or Microsoft Azure
Experience with Apache Spark (via PySpark or Scala) or knowledge of Databricks
Knowledge of French is required
Knowledge of Python and SQL programming
Knowledge of data science methodologies and their limitations (scikit-learn, pandas, Matplotlib, NumPy, SciPy, PySpark etc.)
Ability to analyze complex issues and propose solutions tailored to business needs
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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