Manager, Model Validation, Global Risk Management -1 year contract

Scotiabank; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading financial institution in Toronto is seeking a highly motivated Manager of Model Validation for a 1-year contract. The successful candidate will support the credit model validation team, analyzing and mitigating modeling risks while providing expertise on model strengths and weaknesses. A MSc or PhD in quantitative fields and 2-3 years of relevant experience, particularly in credit risk, are essential. Proficiency in Python and SQL is highly preferred.

Qualifications

• 2-3 years of relevant experience in model validation and/or development within a financial institution.
• Strong analytical, numerical, research, and problem-solving skills.
• Experience in Stress Testing modeling processes.

Responsibilities

• Support the model validation team to mitigate model risks.
• Discuss validation results with model owners and governance team.
• Validate models assigned by model governance committee.

Skills

Model validation

Stress testing

Python programming

SQL proficiency

Analytical skills

Education

MSc or PhD in quantitative fields

Tools

R

SAS

Job description

Select how often (in days) to receive an alert:

Title: Manager, Model Validation, Global Risk Management -1 year contract

Requisition ID: 242369

Roynat Capital, a wholly owned subsidiary of Scotiabank, is a national lender and investor with expertise in providing innovative long-term capital solutions for mid-sized companies utilizing senior term, subordinated debt, as well as mezzanine capital and common share equity. We provide tailored solutions to clients for acquisitions, business expansions, wealth monetization, and working capital enhancement. With a national presence in Canada in major markets, Roynat assists growth-oriented companies in reaching their goals across a wide range of industries.

1-year contract

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 inmathematics, econometric modelsandstatistics.
• 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

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. Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide as seamless a recruitment experience as possible.