Quantitative Analysis Manager

4 weeks ago

Toronto, Ontario, Canada Scotiabank Full time

Role Overview

Scotiabank is seeking a highly skilled Quantitative Analysis Manager to join our Treasury team. As a key member of our team, you will be responsible for developing and maintaining liquidity models for the balance sheet, including both retail and wholesale products.

Key Responsibilities

  • Develop, enhance, and maintain liquidity models for the balance sheet, including financial model development, code development, product modeling, and operational process maintenance.
  • 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.
  • Coordinate with stakeholders to resolve issues that may arise in modeling and processes in production, and implement, review, and ensure the resolutions are appropriate.
  • Work with Funding, Cash Management, and Risk Management to understand and incorporate regulatory changes and the impact on reporting requirements and internal analytics.
  • Develop and implement big data tools and technologies to drive tangible outcomes.

Requirements

  • Graduate degree in Math, Statistics, or Computer Science. Minimum 3 years working experience in relevant fields.
  • Strong programming skills in Python, SQL.
  • Working knowledge of UNIX, Git, Docker, Power BI, Nifi.
  • Experience in Google Cloud Platform (GCP) and its offerings (e.g. BigQuery, VertexAI, Looker); Familiar with cloud-based data structures and cloud migration pipeline; Capable of loading real-time data to the cloud, and extracting, manipulating, transforming, and visualizing data within the cloud.
  • Experience in predictive analytics (e.g. time-series analysis, clustering, classification) and machine learning techniques (e.g. regression algorithms, Tree-based algorithms, Neural Network, Gradient boosting methods) and frameworks (e.g. scikit-learn, TensorFlow, Pytorch, etc.).
  • Strong data sense, critical thinking, and technical documentation skills.
  • Knowledge of financial products and risk management analytics.
  • Strong analytic and problem-solving skills to simplify and automate work, and make things better.
  • Strong verbal and written communication skills with ability to work cross-functionally to articulate and solve issues.
  • High performance, pragmatic, detail-oriented team player able to work well in a fast-paced environment.

What We Offer

  • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success.
  • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one.
  • Your career matters You will have access to career development and progression opportunities.

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