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Data Modeling Expert

2 months ago

Montreal, Quebec, Canada National Bank Full time
Role Summary

We are seeking a seasoned Data Scientist to join our Models, Technology and Transformation team at National Bank. As a key member of our team, you will leverage your analytical expertise to drive the development of high-impact modeling mandates.

Key Responsibilities:
  • Collaborate with stakeholders to design and implement data-driven solutions for financial crime detection.
  • Develop and maintain advanced statistical models to identify and prevent financial crimes.
  • Conduct thorough analysis and provide actionable recommendations to optimize financial crime detection processes.
  • Maintain accurate and comprehensive documentation of all models and related processes.
  • Support reporting and analysis activities to inform strategic decision-making.
Requirements:
  • Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science or related field and 6 years of relevant experience, or Master's degree and 4 years of experience.
  • Proven expertise in data modeling, supervised and unsupervised approaches, and data visualization.
  • Proficiency in programming languages such as SAS, SQL, Python, and Power BI.
  • Excellent analytical and problem-solving skills, with ability to communicate complex ideas effectively.
What We Offer:

In addition to a competitive salary range of $120,000 - $180,000 per year, we offer a comprehensive benefits package, including health and wellness program, flexible group insurance, pension plan, Employee Share Ownership Plan, and Employee and Family Assistance Program.

Our dynamic work environment is designed to foster collaboration and creativity, with cutting-edge tools and technology at your fingertips. We prioritize employee feedback and engagement, and offer opportunities for professional growth and development.

At National Bank, we value diversity, equity, and inclusion, and strive to create a barrier-free workplace that promotes accessibility and inclusivity for all employees.