Actuary, Model Risk

Jobtailor; Richmond (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor in Richmond, VA seeks a senior model risk professional to lead independent validations of actuarial, finance, investment, and data science models.

You will ensure models are fit for purpose, document findings for technical and non‑technical audiences, and challenge rationale, reliability, and limitations.

Collaborate with model owners, developers, and leadership to strengthen governance, controls, and the use of AI tools to improve processes.

Qualifications

• Bachelor's degree in a quantitative discipline.
• FSA or ASA; FSA preferred.
• 7+ years of experience in Life/Annuity/LTC insurance.
• 3+ years developing actuarial models in AXIS or MG-ALFA/Integrate.
• Proficiency in SQL or Python/R/SAS.
• Familiarity with actuarial valuation, projections, experience study or pricing models.
• Interest in AI tools to improve work processes.
• Ability to document models, processes, and validation findings for technical and non-technical audiences.

Responsibilities

• Lead independent model validations for actuarial, finance, investment, and data science models
• Validate that models are fit for purpose and functioning as designed
• Provide effective challenge on model rationale, reliability, stability, and limitations
• Identify model issues, document findings for both technical and non-technical audiences
• Collaborate with model owners, developers, and business leaders to deliver model risk management
• Assess enterprise exposure to model risk based on processes and risk strategies
• Contribute insights on modeling, controls, and governance
• Improve efficiency of model risk management processes
• Share validation findings with the Model Risk Team

Skills

SQL

Python

R

SAS

Model risk

Independence

Education

Bachelor's degree in a quantitative discipline

FSA or ASA; FSA preferred

Master's degree (nice to have)

CERA designation

Tools

Moody’s AXIS

MG-ALFA/Integrate

Job description

Responsibilities

• Lead independent model validations for actuarial, finance, investment, and data science models
• Validate that models are fit for purpose and functioning as expected based on their design, input data, methodology, and output
• Provide effective challenge on model rationale, reliability, stability, robustness, and limitations
• Identify model issues, confirm their resolution, and document validation findings for both technical and non-technical audiences
• Collaborate with model owners, developers, and business leaders to deliver independent, value-added model risk management
• Assess the enterprise’s inherent and residual exposure to model risk based on its business processes, and risk management strategies
• Contribute thought leadership and insights on modeling, model risk management, model controls, and model governance
• Improve the efficiency and efficacy of existing model risk management processes
• Share industry knowledge, best practices, and notable validation findings with the Model Risk Team

Requirements

• Bachelor’s Degree in a quantitative discipline
• Fellow of Society of Actuaries (FSA) or Associate of the Society of Actuaries (ASA); FSA preferred
• 7+ years of relevant experience within the Life, Annuity, or LTC insurance industries
• 3+ years of experience developing actuarial models in an actuarial software platform (Moody’s AXIS or MG-ALFA/Integrate preferred)
• Proficiency in SQL or programming languages such as Python, R, or SAS
• Familiarity with actuarial valuation, projections, experience study or pricing models
• Interest in adopting and building AI tools to improve how we work
• Ability to document models, processes, and validation findings for technical and non-technical audiences
• Ability to work independently, take ownership of projects, and self-study unfamiliar topics
• Nice to have Master’s degree in a quantitative discipline
• CERA designation
• Familiarity with predictive analytics, statistical techniques, or AI/machine learning models
• Experience with using AI tools to improve processes and boost productivity