Model Risk Actuary

Martello ReCharlotte, NC
Remote

About The Position

This role is responsible for maintaining and administering the company’s model governance and assumption governance frameworks, aligning with regulatory requirements and industry best practices. The Model Risk Actuary will identify, assess, monitor, and report on model risk within the company’s enterprise risk management framework. This position serves as the secretary to the Company’s Model and Assumption Governance Committee and is responsible for maintaining comprehensive inventories of all models and assumptions used within the company. The role involves performing independent validations of actuarial and financial models, leading the annual review of model risk rating classifications, and overseeing model change processes to ensure proper testing, documentation, and approval before deployment. Additionally, the Model Risk Actuary will monitor model limitations, uncertainties, and potential biases, support the usage of standardized model and assumption governance tools and templates, and manage and support the annual review of the Company’s actuarial assumptions. The role also provides support for the technical review of pricing initiatives, collaborates with actuarial, finance, underwriting, and risk teams to embed model risk awareness, and provides training and guidance on model risk principles. Support for the implementation of a data governance framework applicable to actuarial and/or financial uses of data is also a key responsibility, along with other tasks as assigned.

Requirements

  • FSA or equivalent along with bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics or related field and 5 years of relevant experience
  • In lieu of Bachelor's, Master's in a listed discipline and 3 years of relevant experience.
  • In lieu of FSA, ASA or equivalent professional designation and 7 years of relevant experience.
  • Strong understanding of stochastic modeling, financial reporting, and regulatory frameworks (e.g., US GAAP, Bermuda EBS).
  • Proficiency in actuarial software and data analytics tools.
  • Excellent communication and influencing skills.
  • Ability to challenge constructively and manage cross-functional relationships.
  • Advanced Microsoft Office skills (Excel, Word, PowerPoint)
  • Demonstrated ability to manage multiple priorities and meet deadlines in fast-paced environment
  • High degree of attention to detail and excellent problem-solving skills
  • Capable of summarizing and communicating complex topics clearly and succinctly
  • Ability to work independently and as part of a team
  • High ethical standards and integrity

Nice To Haves

  • Prior experience in model governance, assumption governance, or risk management preferred.

Responsibilities

  • Maintain and administer the company’s model governance and assumption governance frameworks in alignment with regulatory requirements and industry best practices.
  • Identify, assess, monitor and report on model risk within the company’s enterprise risk management framework.
  • Serve as secretary to the Company’s Model and Assumption Governance Committee.
  • Maintain comprehensive inventories of all models and assumptions used within the company.
  • Perform independent validations of actuarial and financial models.
  • Lead the annual review of model risk rating classifications.
  • Oversee model change processes, ensuring proper testing, documentation, and approval before deployment.
  • Monitor model limitations, uncertainties, and potential biases.
  • Support the usage of standardized model and assumption governance tools and templates.
  • Manage and support annual review of the Company’s actuarial assumptions.
  • Support technical review of pricing initiatives.
  • Collaborate with actuarial, finance, underwriting, and risk teams to embed model risk awareness.
  • Provide training and guidance on model risk principles.
  • Support the implementation of a data governance framework applicable to actuarial, and/or financial uses of data.
  • Other tasks as assigned.
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