Manager, Forecasting Models - Retail & Small Business (Contract until April 2027)

Scotiabank; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

Scotiabank in Toronto is seeking a Manager, Forecasting Models - Retail & Small Business on a contract until April 2027. You will lead IFRS 9 modelling, enterprise stress testing, and analytics for Canadian portfolios, developing PD, LGD, EAD models and ensuring compliance.

Collaborate with Validation, Retail Provisions, Compliance, and Audit; leverage Python/R stack; manage end-to-end model development, documentation, and deployment in production.

Qualifications

• Advanced degree in quantitative discipline with strong modelling background.
• Experience with IFRS 9 modelling concepts is preferred.
• Proven ability to develop, validate, and deploy risk models.

Responsibilities

• Develop credit risk models for IFRS 9 provisioning and reporting for Canadian portfolios.
• Document models and coordinate validation with the validation team.
• Collaborate with Retail Provisions, Compliance, and Audit.
• Implement models in production and support production environments.

Skills

Python

R

Pandas

Machine learning

Statistical modelling

SQL

Git

Education

Master's degree in Finance/Statistics/Quantitative field

Tools

Git

Spark

Job description

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Title: Manager, Forecasting Models - Retail & Small Business (Contract until April 2027)

Requisition ID: 269120

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

As Manager, IFRS 9 Modelling, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 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 9 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 9 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 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 9 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

What’s in it for you?

• An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success
• Your career matters! You will have access to career development and progression opportunities.

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.