Requisition ID: 83728
Join the Global Community of Scotiabankers to help customers become better off.
As the Manager, IFRS 9 Modelling, Retail Modelling and Analytics, you will contribute to the overall success of the IFRS 9 credit risk modelling, analytics, and reporting. You will ensures specific individual goals, plans, 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.
What you'll do in this role?
Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
Develop credit risk models for the retail portfolio that predict probability of default, loss given default, or loss rates for Canadian and international lending products for IFRS 9 provisioning and financial reporting.
Assist in the risk parameter (PD, LGD, EAD, Lifetime, Significant Increase in Credit Risk) calibration and risk quantification.
Monitor models and parameters to ensure that they perform as per established guidelines and provide the Senior Manager with an explanation of breaches and recommendations on next steps.
Maintain a thorough knowledge of existing models and methodology
Contribute to the development of a robust data infrastructure for model development and analytics. Regularly review data sources for required changes/improvements
Work with stakeholders and technology teams to implement and execute models and analyses in support of on-going financial disclosure, regulatory reporting, and ad hoc analyses.
Document all models and processes developed and works with the model validation team to ensure timely and satisfactory validation.
Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
Provide ongoing support during internal (GRM, Audit, BPO, Finance) and external (OSFI, etc) data requests and audits.
Ensure model documentation is clear and provide third party reviewers (i.e. Global Risk Management, Audit, or OSFI) the ability to replicate model functionality.
Work well individually and within a team environment and foster a commitment to One Team/One Goal.
What we're looking for?
University degree in Statistics, Mathematics, Economics, Engineering, Operations Research, etc. Masters degree is a strong asset
Proficiency in SAS is required. Experience with Python and R is also an asset.
Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions is required. The ability to clearly summarize and display data is required
Predictive modelling or machine learning, statistical, and programming skills gained through a graduate degree or advanced training in a quantitative discipline are required
The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies
Experience in financial services building IFRS 9, AIRB, or similar models is an asset
Knowledge of sound practices in scorecard as well as PD, EAD, and LGD model development, validation, deployment, documentation and on-going compliance
This position is located on King St W, downtown Toronto. This is a one year contract opportunity.
Location(s): Canada : Ontario : Toronto
As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.
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.