Desjardins — Kanada bo‘ylab jismoniy shaxslar, bizneslar va jamoalarga xizmat ko‘rsatuvchi Shimoliy Amerikadagi moliyaviy kooperativdir. Uning xizmatlari shaxsiy va biznes bank xizmatlari, kredit kartalari, ipoteka, kreditlar, jamg‘armalar va investitsiyalar, shuningdek avtomobil va uy-joy sug‘urtasini qamrab oladi. Tashkilot moliyaviy va sug‘urta xizmatlarini a’zolarga qarorlar qabul qilishda ishtirok etish imkonini beradigan kooperativ modeli bilan birlashtirib, mas’uliyatli investitsiyalar, mahalliy iqtisodiyotni qo‘llab-quvvatlash, jamoatchilik hayotidagi ishtirok va yoshlar rivojiga e’tibor qaratadi.
Data Scientist, Fraud Detection – Montreal Hybrid
Develop and deploy transactional fraud detection models and analytics for Desjardins’ banking and debit payment operations. Build dashboards, monitor fraud patterns, and improve mitigation strategies that protect members and clients.
Tavsif
- Create models and detection strategies to identify transactional anomalies quickly
- Analyze and synthesize data to characterize current fraud schemes
- Develop approaches for detecting transactional fraud
- Evaluate the theoretical performance of fraud mitigation models, rules, and tools
- Implement fraud mitigation models, rules, and tools in production
- Track evolving fraud patterns and assess the performance of detection models and strategies
- Research and create predictive variables that strengthen fraud detection
- Build, maintain, and deliver dashboards, visualizations, and reports
- Streamline and automate essential fraud detection analytics workflows
- Offer project-based guidance to enhance fraud risk management tools
- Advise risk management teams and business units on matters within your area of expertise
- Follow industry developments to anticipate trends and establish or update organizational best practices
Talablar
- Bachelor’s degree in a related discipline
- At least four years of relevant professional experience
- Equivalent combinations of qualifications and relevant experience may also be considered
- Background in analyzing transactional data
- Experience with cloud platforms such as IBM Cloud Pak® for Data or Microsoft Azure
- Experience using Apache Spark through PySpark, Shiny, RStudio, and Databricks
- French-language proficiency is required
- Proficiency in Python or R
- Strong knowledge of data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy, and SciPy
- Proficiency in SQL
- Knowledge of GitHub
Imtiyozlar
- Competitive compensation and annual bonus
- Four weeks of flexible vacation from the first year
- Defined benefit pension plan offering predictable, stable retirement income
- Group insurance with telemedicine coverage
- Reimbursement for health and wellness costs and telework equipment