Director, Model Validation

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Were building a relationship-oriented bank for the modern world. We need talented passionate professionals who are dedicated to doing whats right for our clients.

At CIBC we embrace your strengths and your ambitions so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC please visit

What youll be doing

As Director Model Validation you will have the opportunity to conduct an independent validation of CIBCs analytic models approaches methodologies computations and techniques applicable to CIBC Bank USA financial analytics in particular used for calculation of Regulatory Capital Current Expected Credit Losses (CECL) Stress Testing and Anti-money laundering (AML) and Fraud Models.

At CIBC we enable the work environment most optimal for you to thrive in your role. Youll have the flexibility to manage your work activities within a hybrid work arrangement where youll spend 1-3 days per week on-site while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

How youll succeed

  • Problem solving - Review the models fundamental rationales and assumptions for soundness as well as the theoretical underpinnings for consistency.

  • Technical expertise and testing - Develop an independent benchmark using suitable programming languages and tools and then conduct various quantitative/qualitative tests to assess the accuracy strength and weakness of the model.

  • Reporting - Write a validation/vetting report that includes a description and analysis of both model and benchmark approaches as well as model risk and limitation.

Who you are

  • You have a Masters or Ph.D. degree in one or more of the following: computer science finance mathematics applied mathematics statistics economics and/or econometrics physics or engineering.

  • You possess three to five years of working experience in Anti-Money Laundering Financial Crime Management Transaction Monitoring and Sanctions risk areas.

  • You can demonstrate experience and knowledge of: models associated with Anti-Money Laundering Financial Crime Management Transaction Monitoring and/or administering of Sanctions regimes; Regulatory compliance frameworks (SR 11-7 Guidance on Model Risk Management Bank Secrecy Act USA Patriot Act FINCEN regulations DFS-NY Part 504 requirements); Statistical modelling tools (e.g. SAS R and Python) strong qualitative and quantitative analytical skills with large data.

  • Its an asset if you have a professional certification such as CAMS CFE and/or CAFP.

  • Its an asset if you experience and knowledge of Econometric/Statistical models AIRB credit risk models (PD LGD EAD) IFRS 9/CECL Fraud AML Scorecards Adjudication AI/Machine Learning Stress Testing.

  • You love to learn. Youre passionate about growing your maintain up-to-date knowledge with regard to development and changing technology in risk management.

  • Youre driven by collective success. You collaborate well in a team learning from others and applying your skill set. You proactively seek new opportunities to define whats possible.

  • Values matter to you. You bring your real self to work and you live our values trust teamwork and accountability.

#LI-TA

What CIBC Offers

At CIBC your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career rather than just a paycheck.

  • We work to recognize you in meaningful personalized ways including a competitive salary incentive pay banking benefits a benefits program* defined benefit pension plan* an employee share purchase plan a vacation offering wellbeing support and MomentMakers our social points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation please contact

  • You need to be legally eligible to work at the location(s) specified above and where applicable must have a valid work or study permit.

  • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation coding French proficiency MS Office). Our goal for the application process is to get to know more about you all that you have to offer and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay 31st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking Anti-Money Laundering Compliance Continuous Improvement Techniques Emerging Risks Financial Crime Risk Management Financial Modeling Group Problem Solving Leadership Operation Risk Management Predictive Modeling Python (Programming Language) Regulatory Compliance Regulatory Requirements Risk Analytics Risk Management Framework R Programming SAS Language

Required Experience:

Director

Were building a relationship-oriented bank for the modern world. We need talented passionate professionals who are dedicated to doing whats right for our clients.At CIBC we embrace your strengths and your ambitions so you are empowered at work. Our team members have what they need to make a meaningf...
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Key Skills

  • Python
  • C/C++
  • Fortran
  • R
  • Data Mining
  • Matlab
  • Data Modeling
  • Laboratory Techniques
  • MongoDB
  • SAS
  • Systems Analysis
  • Dancing

About Company

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