Manager, IFRS9 Modelling, Enterprise Stress Testing (10 month contract)

Scotiabank; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

A leading bank in the Americas seeks a Manager for IFRS 9 Modelling. This role focuses on credit risk modelling and analytics for retail portfolios. The candidate will work with advanced machine learning technologies to develop and maintain models, ensuring compliance within a customer-centric culture.

Qualifications

• Experience with Python or R for data processing.
• Domain expertise in retail credit risk is an asset.
• Ability to communicate with stakeholders effectively.

Responsibilities

• Develop credit risk models for IFRS 9 provisioning.
• Collaborate with stakeholders for model integration.
• Ensure compliance with operational and regulatory risks.

Skills

Predictive modelling

Machine learning

Statistical skills

Programming skills

Excellent communication

Adaptability

Education

Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering

Tools

Python

R

Linux

UNIX

Git

Pyspark

Data visualization libraries

Job description

Requisition ID: 227645

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 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 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

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. If you require technical assistance, please click here. 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.