Job Description

Requisition ID: 238829



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



Looking for a highly motivated and qualified Model Validation Manager to support its objectives. The primary responsibility of this role is to support the credit model validation team to mitigate the model risks under the model governance for the entire group. The team is responsible to discover and diagnose modeling related risks including input data, assumption, concept, methodology, process and implementation. The team is also responsible to opine on the model strength and weakness and recommend practical solutions.

Is this role right for you? In this role, you will:

Support the model validation team to mitigate the model risks Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process and implementation Provides subject matter expertise on models' strength and weakness and recommend practical solutions Validates models assigned by model governance committee Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed Utilizes express mode validation for new model development, facing legal and compliance related modeling issues, quick model fixes, etc. Review model documents and conduct test runs on model codes Provide different view on methodology and calculations, and provide feedback to model developers Work on model validation reports with hiring manager and provide ad hoc support as necessary

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

A MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, or related files. 2-3 years of relevant experience in model validation and/or development within a financial institution, particularly in the credit risk area is preferred. Experience in Stress Testing modeling process Proficient in mathematics, econometric models and statistics. Strong analytical, numerical, research and problems solving skills. Proficiency in programming language such as Python, R, and SAS (Python is preferred). Proficiency in working with relational databases - SQL

What's in it for you?

An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success! We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one! 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. 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.