Senior Manager, AI/ML Model Validation

1 month ago

Toronto, Ontario, Canada The Toronto-Dominion Bank (Canada) Full time
Job Summary

We are seeking a highly skilled Senior Manager, AI/ML Model Validation to join our team. As a key member of our organization, you will be responsible for leading a team of Machine Learning and Data Scientists to perform validation of all Fraud and Cyber Security models deemed in-scope by the bank-wide Model Risk Policy.

Key Responsibilities
  • Lead a team of Machine Learning and Data Scientists to perform validation of all Fraud and Cyber Security models deemed in-scope by the bank-wide Model Risk Policy.
  • Recommend the approval of models or other corrective actions based on the independent validation.
  • Lead and support a team of model validators.
  • Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
  • Communicate group objectives and strategies and align group activities in support of business objectives.
  • Support employee development activities, coach and support direct reports in meeting their personal development objectives.
  • Assume a leadership role in developing standards and procedures for vetting and validation Fraud and Cyber Security models that are compliant with the Bank's internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
  • Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures.
  • Work effectively with internal Model Development groups, Audit, and other internal partners to ensure models meet required Bank standards for use.
  • Play a key role in ensuring the appropriate use of Fraud and Cyber Security models.
  • Maintain full professional knowledge of techniques and developments in the field of AI and Machine Learning, and share knowledge with business partners and senior management.
Requirements
  • Advanced quantitative and AI / ML skills with post-secondary degree in one or more of the following areas: Machine Learning, AI, finance, engineering, software engineering, statistics, economics / econometrics, mathematics.
  • 4+ years of experience in either developing or validating Fraud / Cyber Security models; and 2+ years of experience in leading a small team of data scientists.
  • In-depth knowledge of fraud risk management and detection of different types of fraud attacks.
  • In-depth knowledge of AI / Machine Learning techniques, concepts and theory; Statistical/probability theory and applications.
  • Deep knowledge of popular tabular ML algorithms such as XGBoost/LightGBM, Random Forest, and etc.
  • In-depth knowledge of AI/ML Explainability/Interpretability concepts, tools and techniques.
  • Ability to research and implement Machine Learning algorithms from academic research papers is a plus.
  • Proficient in relevant programming languages such as Python, PySpark, SQL.
  • Experience with Microsoft Azure cloud infrastructure, Databricks is an asset.
  • Object Oriented Programming, GIT, MLOps / Dev.Ops; Experience maintaining an ML library is a plus.
  • Excellent verbal and written communication skills; and stakeholder management abilities (position requires writing and reviewing reports of technical nature).
  • Strong critical and analytic thinking skills.
  • Excellent time / project management and multitasking skills with minimal supervision.
  • Stay up to date with the latest advancements in fraud risk management, data science, machine learning, and AI.
About Us

The Toronto-Dominion Bank (Canada) is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world.

Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.

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