CIBC

Requirements

• Conduct and review AI risk assessments
• Develop effective AI risk mitigation plans
• Provide AI risk advisory services
• Ensure AI solutions are appropriately risk-assessed
• Work collaboratively with technology and business teams

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Conduct and review AI risk assessments
• Develop effective AI risk mitigation plans
• Provide AI risk advisory services
• Ensure all AI solutions are appropriately risk-assessed
• Work collaboratively with technology and business teams
• Ensure all CIBC AI Governance requirements are adhered to

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget

Skills

Requirements

• Experience in quantitative analysis and regulatory frameworks
• Knowledge of financial products and risk measurement models
• Good programming skills
• Bachelor's or Master's degree in Mathematical/Computational Finance
• Ability to learn and adapt to new technologies

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• Master’s or Ph.D. degree in finance, mathematics, applied mathematics, statistics, economics, econometrics, physics, computer science, engineering, etc.
• Model validation, model development, and/or internal audit experience
• In-depth hands-on experience in Statistical modelling tools
• Strong qualitative and quantitative analytical skills
• Knowledge of econometric/Statistical models, AIRB credit risk models (PD, LGD, EAD), IFRS 9/CECL, Fraud, AML, Scorecards, Adjudication, AI/Machine Learning, Stress Testing, etc.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• Master’s or Ph.D. degree in computer science, finance, mathematics, applied mathematics, statistics, economics, and/or econometrics, physics or engineering
• Experience in statistical modeling: logistic regressions, scorecards, survival models
• Deep understanding of credit risk concepts (PD, LGD, EAD)
• Expert-judgment and override scorecards, modeling philosophy, benchmarking risk rating models and testing of sensitivity to selected risk variables
• Assessment of model degradation and data stability using metrics like Population Stability Index (PSI), Kolmogorov-Smirnov (KS) test, and in fairness/bias assessments, including demographic parity and equalized odds

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• Master's or Ph.D. degree in computer science, finance, mathematics, applied mathematics, statistics, economics, and/or econometrics
• Experience of developing and validating statistical models
• Deep knowledge of relevant regulations and guidelines
• In-depth hands-on experience in Statistical modelling tools
• Ability to learn and adapt to new technologies

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills