Sr. Audit Manager - Model Risk CoE

Royal Bank of Canada · Toronto

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• What is the opportunity?

  RBC Internal Audit Services is hiring a Senior Manager within US Model Risk Audit Team. You will provide an independent and objective assessment of the effectiveness of Model Risk practices within the first and second line of defense across RBC.  This includes assessing the effectiveness of internal controls throughout the model lifecycle; identification, development, documentation, validation, implementation, and performance monitoring & use.  You will also contribute to the assessment of the effectiveness of model risk management practices with focus on AML, Credit Risk, Artificial Intelligence & Machine Learning (AI/ML), Stress Testing, Valuation, Market Risk, Liquidity Risk and Counterparty Credit Risk models.

  The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

  What will you do?

• Develop and execute a risk-based audit plan for US Model Risk Management
• Through in-depth understanding of the business including changes to the US regulatory and business environments, develop and maintain standard audit programs to provide assurance over design and operating effectiveness of Model Risk Management controls related to business processes.
• Lead and execute audits covering model risk management, quantitative models, AI, and model governance across the US.  Evaluate the effectiveness of governance, risk management, and internal controls supporting models used for regulatory capital, CCAR, IFRS 9/CECL, market risk, credit risk, liquidity risk, ALM, operational risk, fraud, AML, stress testing and AI/ML purposes.
• Provide input on the assessment of the effectiveness of model development and model validation activities; including quality of supporting documentation, modelling methodologies, margins of conservatism, parameter choices, testing and the wide range of other modelling decisions that are made.
• Contribute to effective continuous risk monitoring and continuous assurance on overall Model Risk Management controls.
• Continually develop working relationship with business stakeholders to become a trusted advisor.

• What do you need to succeed?

   Must-Haves: 

• Evidence of having validated and/or developed any of the following model types: AML, Market Risk, Credit Risk, Data Science AI/ML, Capital Risk, Treasury (Interest rate risk and/or liquidity risk), Valuation, Insurance, Stress Testing.
• Risk Management or Regulatory/Compliance experience – Experience in any one of AML, CCR & Market Risk, Credit Risk, Stress Testing, Valuation and Liquidity & Funding Risk.  In either 1st or 2nd line of defense.
• Knowledge of legislation and regulations relating to model risk management in Canada, USA and UK.
• Ability to work to meet regulatory deadlines and communicate effectively with the key stakeholders.
• Self-motivated - able to work and learn independently, communicate and collaborate effectively with others at all levels in the organization.

•  Nice to have:

• Working knowledge in machine learning techniques, programming in Python, R.
• Working knowledge of Internal Audit Services practices, policies, procedures and systems with Internal Audit experience in Banking or Capital Market.
• Quantitative Degree in Finance/Mathematics/Physics/etc.

• What’s in it for you? 

  We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual. 

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions and stock where applicable.
• Work with and learn from our extensive global network of people, including risk management professionals, data scientists, researchers, and various subject matter experts.
• Leaders who support your development through coaching and managing opportunities.
• Opportunities to do challenging work.

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