Senior Manager, Model Validation (Questbank)

Questrade Financial Group

$140K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Masters or PhD in a quantitative field like Statistics or Financial Engineering.
  • Minimum 7+ years in model development or validation in financial services, focusing on credit risk and AI/ML.
  • Strong grasp of credit risk modeling techniques, including ECL models.
  • Proficient in statistical modeling and machine learning algorithms.
  • Experience with model validation methodologies and best practices.
  • Strong programming skills in R, Python, or SAS.
  • Excellent communication skills for technical and non-technical audiences.

Responsibilities

  • Lead independent validation of AI/ML and credit risk models to ensure soundness and compliance.
  • Define model validation project scopes, develop plans, and manage timelines and budgets.
  • Apply statistical techniques to assess model performance and identify weaknesses.
  • Enforce scientific rigor and ethical practices in AI/ML initiatives.
  • Evaluate model risks and ensure data quality and performance monitoring.
  • Prepare and present comprehensive validation reports to stakeholders.
  • Mentor junior validators and promote continuous learning.

Benefits

  • Comprehensive benefits plan.
  • Competitive incentive (bonus) program for full-time permanent roles.
  • Hybrid work model allowing flexibility.
  • Opportunities for professional development and mentorship.
Full Job Description
We're looking for our next Senior Manager, Model Validation. Could It Be You?

We are seeking a highly motivated and experienced Senior Manager to lead the validation of AI/ML and credit risk models within our Risk Management department. This critical role will be responsible for independently validating a wide range of models, including those used for credit card and mortgage origination, account management, and Expected Credit Loss (ECL) calculations. The successful candidate will possess strong technical skills in model development, validation, and risk management, with a deep understanding of statistical modeling, machine learning algorithms, and regulatory requirements. They will also have excellent communication skills and the ability to effectively collaborate with model developers, business stakeholders, and senior management.

Need more details? Keep reading...

In this role, responsibilities include but are not limited to:
  • Lead and execute independent validation of complex AI/ML and credit risk models, ensuring they are conceptually sound, fair, unbiased, statistically robust, and compliant with regulatory requirements (e.g., OSFI E-23).
  • Define the scope of model validation projects, develop validation plans, and manage projects to completion within established timelines and budgets.
  • Apply advanced statistical and machine learning techniques to assess model performance, identify potential weaknesses, and propose remediation strategies.
  • Enforce scientific rigor and ethical practices across all AI/ML initiatives.
  • Evaluate model risk, including conceptual soundness, data quality, implementation, and performance monitoring.
  • Prepare comprehensive validation reports documenting the validation process, findings, and recommendations. Present validation results to model owners, business stakeholders, and senior management.
  • Effectively communicate validation findings and recommendations to model developers, business units, and senior management. Collaborate with stakeholders to address model weaknesses and improve model performance.
  • Stay abreast of current and emerging regulatory requirements and industry best practices related to model risk management, particularly in the areas of AI/ML and credit risk.
  • Provide guidance and mentorship to junior model validators, fostering a culture of continuous learning and development.
  • Identify opportunities to improve the model validation process and enhance the effectiveness of model risk management.
  • Evaluate the quality and suitability of data used in model development and validation, ensuring adherence to data governance policies.


So are YOU our next Senior Manager, Model Validation? You are if you...
  • Masters or PhD degree in a quantitative field such as Statistics, Mathematics,Econometrics, Financial Engineering, or Computer Science.
  • Minimum 7+ years of experience in model development, validation, or risk management within the financial services industry, with a focus on credit risk and/or AI/ML models.
  • Strong understanding of credit risk modeling techniques, including:

1. Credit scoring and origination models

2. Account management models

3. Expected Credit Loss (ECL) models (IFRS 9)
  • Proficiency in statistical modeling and machine learning algorithms
  • Experience with model validation methodologies and best practices.
  • Strong programming skills in statistical software packages such as R, Python, or SAS.
  • Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Knowledge of Canadian regulatory requirements for financial institutions (e.g., OSFI E-23) is highly desirable.
  • Experience with credit card and mortgage portfolios is highly desirable.
  • Experience with cloud-based model development and deployment is an asset.


Compensation Information:
  • Base salary range: $140,000 - $180,000
  • The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.


Sounds like you? Click below to apply!

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