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Risk Analytics Manager

2 months ago


Toronto, Ontario, Canada Scotiabank Full time

About Scotiabank

Scotiabank is a leading financial institution committed to delivering exceptional customer experiences and driving innovation in the financial services industry.

Job Summary

We are seeking a highly skilled and experienced Risk Analytics Manager to join our team. As a key member of our Global Risk Management team, you will play a pivotal role in accelerating benefits for customers and the bank by leveraging advanced analytics techniques and collaborating closely with business lines, Digital Banking, and IT.

Key Responsibilities

  • Develop and implement innovative credit solutions using advanced and predictive data analytics, big data, and AI/machine learning techniques to drive growth and strategy optimization opportunities in Caribbean and Central American markets.
  • Lead strategy design thinking with business partners, subject matter experts, and external consultants to enhance risk-reward predictions, customer segmentation, credit limits, risk-based pricing, and fraud detection across the full credit lifecycle.
  • Utilize Agile framework to prioritize and deploy data science projects, aligning with project scope and timelines.
  • Collaborate with Toronto and local business partners to implement new credit solutions in selected markets and monitor key performance indicators for scalable deployment in an agile and rapid environment.
  • Partner with other analytics areas to assist use case development and deployment.
  • Define data engineering, visualization, and machine learning requirements in collaboration with the Business Intelligence team and key stakeholders.
  • Actively contribute to developing and maintaining team standards, tools, and best practices.

Requirements

  • University degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
  • Ability to work with large volumes of structured and unstructured non-traditional data.
  • Proficiency in big data tools and programming languages (e.g., SAS, SQL, Spark).
  • Experience with machine learning and other AI techniques for strategy design.
  • Familiarity with collaboration tools (e.g., Jira, Confluence) to tie stakeholders.
  • Strong collaboration skills to translate technical knowledge into business value.
  • Effective communication skills for project documentation and presentations.
  • Excellent social skills to navigate team dynamics.