Manager, Credit Risk Modeling

2 weeks ago

Toronto, Ontario, Canada BMO Full time

Job Title: Data Analytics & Reporting Specialist

About the Role:

The Data Analytics & Reporting Specialist will play a key role in supporting various data science projects, including the development and maintenance of origination, portfolio risk management, and collection models/strategies for Canadian Personal & Business Banking small business portfolios. The successful candidate will assist senior managers in developing machine learning solutions for risk management and monitoring model performance.

Key Responsibilities:

  • Develop pricing and quantitative risk models for assigned portfolios, including fixed income, corporate credit, and loans.
  • Support the development and maintenance of machine learning statistical and/or other scoring and forecasting models and tools by assisting with data engineering and data science tasks.
  • Work with risk and lines of business teams to develop analytic solutions, ad-hoc analysis, and modeling to drive new initiatives, improve business processes, and deliver value using data-driven decisions.
  • Monitor risk in strategies and portfolios alongside project managers or functional leads.
  • Design, develop, and maintain code used for data engineering and data science tasks to prepare, manipulate, and analyze large internal and external datasets using SAS, R, Python, or SQL.
  • Support the delivery and enhancement of regularly scheduled reporting packages for models and/or credit risk strategic initiatives.
  • Conduct research and develop tools that use data to make better financial decisions, such as investments, pricing, etc.
  • Apply knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
  • Identify ways of mitigating potential risks and recommend and implement solutions based on analysis of issues and implications for the business.
  • Document data flow, systems, and processes to improve the design, implementation, and management of business/group processes.
  • Conduct quantitative research in risks across strategies and portfolios.
  • Focus primarily on business/group within BMO, with the possibility of broader, enterprise-wide focus.
  • Provide specialized consulting, analytical, and technical support.
  • Exercise judgment to identify, diagnose, and solve problems within given rules.
  • Work independently and regularly handle non-routine situations.

Qualifications:

  • Degree in Statistics, Mathematics, Actuarial Science, Engineering, Operations Research, or another highly quantitative field with a track record of academic excellence.
  • At least 2 years' experience with developing data science and data engineering solutions.
  • Understanding of credit risk concepts is an asset.
  • Knowledge of various statistical software skills, including SAS, R, Python, etc.

Desired Characteristics:

  • Advanced programming skills, proficiency with programming languages such as R, SAS, Python, or SQL, and a high level of familiarity with Microsoft Office tools.
  • Strong project management skills with the ability to manage multiple assignments effectively.
  • Understanding of risk management concepts, including Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD), etc.
  • Experience developing data science models and solutions.
  • Experience working with big data.

About BMO:

BMO is a leading financial institution committed to an inclusive, equitable, and accessible workplace. We strive to create lasting, positive change for our customers, communities, and people. By working together, innovating, and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

Why Join BMO:

As a member of the BMO team, you will be valued, respected, and heard. You will have more ways to grow and make an impact. We will support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching to manager support and network-building opportunities, we will help you gain valuable experience and broaden your skillset.

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