Manager, IFRS9 Modelling & Analytics
Toronto, ON, CA, M5H 3Y2
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Scotiabank
Requisition ID: 230022
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
As Manager, IFRS 9 Analytics & Modelling, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for Canadian retail and small business portfolios.
Reporting to a Senior Manager or Director, 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 are conducted in compliance with governing regulations, internal policies, and procedures. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Global Retail Provisions, Model Validation and Approval, Compliance, and Audit.
Your primary responsibility will be to assist with the production implementation of PD, LGD, and SICR models in the cloud. This includes supporting deployment activities, ensuring model performance and stability, and collaborating with technology teams to operationalize model outputs. In addition, you will share responsibility for performing monthly and quarterly expected credit loss (ECL) analytics. These analytics include measuring ECL sensitivity and quantifying impacts arising from changes to models, macroeconomic scenarios, and portfolio data. The role also requires adaptability to respond quickly to ad hoc requests and evolving stakeholder needs.
Is this role right for you? In this role, you will:
- Analyze complex business requirements and generate technical solutions using industry best practices
- Implement production-ready code and assist with integration into larger IT workflows
- Be flexible, adapt quickly to change, and thrive in an evolving environment
- 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
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
- 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
- Predictive modelling, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
- Demonstrated ability to quickly and effectively identify and solve business and technical problems by: performing appropriate investigations, identifying solutions, weighing pros and cons of solutions, and making recommendations to management
- Hands-on experience with Linux or UNIX systems and software version control with Git
- Demonstrated ability to quickly grasp and embrace new concepts and technologies
- Domain expertise in retail credit risk and IFRS 9 is an asset
- Experience with Python, (pyspark, pandas, numpy), R, (sparklyr, dplyr)
- Hands-on experience with Power BI is an asset
- Experience with Google Cloud Platform is an asset
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Credit risk Economics Engineering Finance GCP Git Google Cloud Linux Mathematics NumPy Pandas Physics Power BI PySpark Python R Statistics Testing
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