Job Description
purpose driven winning team, committed to results, in an inclusive and high-performing culture.
As Manager, IFRS * Modelling, Enterprise Stress Testing, you will contribute to the overall success of IFRS * credit risk modelling, analytics, and reporting for Canadian retail and / or small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.
You will report directly to a Senior Manager or Director and be a critical member of the team developing the forward-looking probability of default (PD), loss given default (LGD) or other models used to estimate credit risk for Canadian lending products. With access to a modern machine learning stack that includes open-source development environments, you will be responsible for model development, documentation, implementation, and maintenance. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.
Is this role right for you? In this role, you will:
Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
Develop credit risk models for the retail and / or small business portfolios that predict PD, LGD, EAD, etc. for IFRS * provisioning and financial reporting
Document all models and processes developed and work with the model validation team to ensure timely and satisfactory validation
Support the integration of new models into IFRS * and Enterprise-Wide Stress Testing analytics and reporting processes
Work with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
Actively pursue effective and efficient operations of the respective areas
Ensure adequacy of, effectiveness of, and adherence to day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct
Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:
Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
Experience with Python or R including data processing with pandas or dplyr
Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
The ability to quickly grasp and embrace new concepts and technologies
Experience with Linux or UNIX systems and version control software such as Git is required
Domain expertise in retail credit risk and IFRS * is an asset
Experience with pyspark or sparklyr for data wrangling is an asset
Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization is an asset
The ability to be flexible, adapt quickly to change, and thrive in an evolving environment
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
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As Manager, IFRS * Modelling, Enterprise Stress Testing, you will contribute to the overall success of IFRS * credit risk modelling, analytics, and reporting for Canadian retail and / or small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.
You will report directly to a Senior Manager or Director and be a critical member of the team developing the forward-looking probability of default (PD), loss given default (LGD) or other models used to estimate credit risk for Canadian lending products. With access to a modern machine learning stack that includes open-source development environments, you will be responsible for model development, documentation, implementation, and maintenance. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.
Is this role right for you? In this role, you will:
Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
Develop credit risk models for the retail and / or small business portfolios that predict PD, LGD, EAD, etc. for IFRS * provisioning and financial reporting
Document all models and processes developed and work with the model validation team to ensure timely and satisfactory validation
Support the integration of new models into IFRS * and Enterprise-Wide Stress Testing analytics and reporting processes
Work with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
Actively pursue effective and efficient operations of the respective areas
Ensure adequacy of, effectiveness of, and adherence to day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct
Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:
Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
Experience with Python or R including data processing with pandas or dplyr
Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
The ability to quickly grasp and embrace new concepts and technologies
Experience with Linux or UNIX systems and version control software such as Git is required
Domain expertise in retail credit risk and IFRS * is an asset
Experience with pyspark or sparklyr for data wrangling is an asset
Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization is an asset
The ability to be flexible, adapt quickly to change, and thrive in an evolving environment
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
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💡 Quick Summary
Seeking a career-building opportunity? The Manager, IFRS* Modelling, Enterprise Stress Testing (10 month contract) position is now open for candidates interested in the MIS Executive sector. This role in Toronto offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in MIS Executive is a plus.