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Quantitative Analysis and Risk Management Lead

1 week ago

Toronto, Ontario, Canada Scotiabank Full time
Liquidity Risk Management and Data Science Role

We are seeking a highly skilled individual to join our Group Treasury team as a Quantitative Analysis and Risk Management Lead. In this role, you will be responsible for developing and implementing quantitative solutions and risk technology to support decision making for funding staff and senior management.

You will work closely with stakeholders to understand their needs and develop predictive models and machine learning algorithms to design solutions that deliver smarter business decisions, improve business processes, and drive productivity. Additionally, you will coordinate with stakeholders for the resolution of issues that may arise in modeling and processes in production, and implement, review, and ensure the resolutions are appropriate.

The ideal candidate will have a minimum of 3 years working experience in relevant fields, strong programming skills in Python, SQL, and a working knowledge of UNIX, Git, Docker, Power BI, Nifi. Experience in Google Cloud Platform (GCP) and its offerings is also highly desirable.

This is an excellent opportunity to work on challenging and research-based initiatives using big data tools and technologies focusing on tangible outcomes. If you have a strong data sense, critical thinking, and technical documentation skills, and are a high performance, pragmatic, detail-oriented team player able to work well in a fast-paced environment, we would love to hear from you.