Model Risk Governance Manager at City National Bank
Concord, North Carolina, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Oct, 25

Salary

189738.0

Posted On

13 Jul, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Regulatory Requirements, Valuation, Stata, Excel, Model Validation, Mathematics, Risk, Occ, Oversight, Finance, Model Development, Basel Ii, Sql, Interest Rate Risk Management, Credit Risk, Modeling, Operational Risk, Economics, Sas, Market Risk, Statistics, R, Eviews

Industry

Financial Services

Description

ADDITIONAL QUALIFICATIONS

  • Candidates for the role are expected to hold a degree in a quantitative discipline, e.g.
  • Hands-on experience of risk and financial modelling is desirable, but regardless of experience all candidates should be able to demonstrate an understanding of valuation modelling, financial and bank focused products.
  • Proven track record of strong technical model development, model management, and/or model oversight in one or more of the following areas: credit risk management, market / interest rate risk management, economic capital estimation, and valuation.
  • Proven knowledge of banking systems and processes, risk management methodologies, and familiar with Model validation function.
  • Knowledgeable about model risk management and associated regulatory requirements such as OCC 2011-12, Basel II, SR 15-18/19.
  • Strong project management capabilities.
  • Deep modeling and technical skills.
  • Advanced Excel skills with ability to apply and review formulas and functions, along with extensive knowledge with the suite of MS Office applications.
  • Demonstrated ability to think critically and facilitate change through collaborative effort. Strong interpersonal, verbal, and written communication skills.
  • Self-motivation, discipline, task focus, the ability to structure and present work and a proven record of delivering high quality results within strict deadlines.
  • Prefer:
  • Experience in data management and analysis
  • Programming experience with software applications such as SAS, R, SQL, VBA a plus
  • Extensive knowledge and experience with various models - Regression, Market Risk, Operational Risk, Credit Risk, PPNR, and analysis tools including Excel, EViews, or Stata applications
  • Advanced degree in finance, economics, statistics or related field (Masters or PhD preferred). Industry certifications a plus (e.g., CFA, FRM).

ABOUT US

Since day one we’ve always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America’s leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us.

Responsibilities
  • Support MRM Manager in ensuring the CNB’s model inventory is complete and up to date. Assist the team in managing the group’s model validation pipeline; focusing on proactive management of business priorities, compliance dates and regulatory requirements. Support the governance of model validation activities for CNB models and leading in the proactive management and reporting of key validation deliverables, issues and risks.
  • Independent validation of capital, impairment, pricing models and scorecards and review of regulatory self-assessment tools across asset classes (retail, wholesale, derivative, asset management)
  • Support the build out of robust reporting of model governance activities and metrics and ongoing performance monitoring as well as other relevant model risk compliance metrics and measures.
  • Socialize and support the model risk governance role across all three lines of defense. Support maintenance and distribution of the training materials to the banking business units.
  • Provide leadership on leading industry practices for Model Risk Governance
  • Support the creation and maintenance of the enterprise-wide model inventory, model control standards, and model risk ranking. Models include those used within the various Business Units for supporting financial reporting, risk management, decision-making, Basel II risk weighted assets calculations, and economic capital estimation.
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