Data Scientist, Credit Application Fraud Detection

Posted 3 months ago

Apply Now

Resume Score

Check how well your resume matches this job before you apply.

Sign in to check score

About the role

  • 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

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

ApacheAzureCloudNumpyPandasPySparkPythonScalaScikit-LearnSparkSQL

Location requirements

HybridMontrealCanada

Report this job

Found something wrong with the page? Please let us know by submitting a report below.