Desjardins
Desjardins
Desjardins ir Ziemeļamerikas finanšu kooperatīvs, kas apkalpo privātpersonas, uzņēmumus un kopienas visā Kanādā. Tā pakalpojumi ietver privātpersonu un uzņēmumu banku pakalpojumus, kredītkartes, hipotekāros kredītus, aizdevumus, uzkrājumu un ieguldījumu risinājumus, kā arī automašīnu un mājokļa apdrošināšanu. Organizācija apvieno finanšu un apdrošināšanas pakalpojumus ar kooperatīva modeli, kas ļauj biedriem piedalīties lēmumu pieņemšanā, vienlaikus uzsverot atbildīgus ieguldījumus, vietējās ekonomikas atbalstu, iesaisti kopienā un jauniešu attīstību.

Data Scientist, Fraud Detection – Desjardins, Montreal Hybrid

Join Desjardins as a Data Scientist focused on detecting and mitigating transactional fraud. Build, deploy, and monitor models while improving fraud analytics across banking and payments operations.

Apraksts

  • Design models and detection strategies for transactional anomalies
  • Analyze information to characterize active fraud schemes
  • Develop approaches for identifying transactional fraud
  • Evaluate the theoretical performance of fraud mitigation models, rules, and tools
  • Deploy fraud mitigation models, rules, and tools to production
  • Track fraud patterns and assess the performance of models and strategies
  • Research predictive variables that strengthen fraud detection
  • Create and maintain dashboards, visualizations, and analytical reports
  • Optimize and automate core fraud detection analytics processes
  • Advise project teams on improving fraud risk management tools
  • Support risk management teams and business units as a subject-matter advisor
  • Monitor industry developments to anticipate trends and maintain organizational best practices

Prasības

  • Bachelor's degree in a related field
  • At least four years of relevant experience
  • Other combinations of qualifications and relevant experience may be considered
  • Experience analyzing transactional data
  • Experience with cloud platforms such as IBM Cloud Pak for Data or Microsoft Azure
  • Experience with Apache Spark through PySpark, Shiny, RStudio, and Databricks
  • French-language proficiency is required
  • Proficiency in Python or R
  • Knowledge of data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy, and SciPy
  • Proficiency in SQL
  • Knowledge of GitHub, along with action orientation, adaptability, customer focus, innovation, interpersonal skill, and nimble learning ability.
  • benefits

Priekšrocības

  • Competitive salary and annual bonus
  • Four weeks of flexible vacation starting in the first year
  • Defined benefit pension plan offering predictable, stable retirement income
  • Group insurance with telemedicine
  • Reimbursement for health and wellness expenses and telework equipment

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