Salary: $100k - $200k
Experience: 10+ Years

Role Summary

Role type

Capital and model risk strategy

Closer to capital and risk governance than a modelling-heavy IC role because the emphasis is independent challenge, validation standards and oversight rather than model production.

Manager-level Life actuarial role in Allianz Life’s Model Risk Management team in Minneapolis, Minnesota. You’ll independently validate actuarial and capital models supporting statutory valuation, reserving, RBC, and financial reporting, while strengthening governance and challenging model owners. The role is hybrid, although the ad does not specify an office-day schedule.

Requirements

Strongly preferred

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Financial Engineering, Physics or a related quantitative discipline
10+ years of experience in actuarial modeling, actuarial model validation, or a related actuarial function within the life insurance industry
Hands-on experience with statutory reporting, statutory valuation and reserving methodologies, including models supporting CARVM, VM-20, VM-21, and other U.S. statutory reserve requirements
Experience with Risk-Based Capital (RBC) modeling, reporting, and related regulatory frameworks
Strong understanding of actuarial model governance frameworks, model risk management principles, and model validation practices
Experience with actuarial modeling platforms and programming languages commonly used in the industry (e.g., RAFM, Python, R, SQL, VBA)
Demonstrated ability to independently assess model design, methodology, assumptions, implementation, data quality, and model performance
Ability to effectively challenge model owners and resolve technical, actuarial, and methodological disagreements through fact-based analysis and professional judgment
Strong analytical, problem-solving, and technical communication skills, with ability to communicate findings to senior management
ASA or FSA designation preferred

Skills & Domain

DomainLife insurance statutory valuation and reserving (CARVM, VM-20, VM-21)Risk-Based Capital (RBC) modeling and reportingActuarial model governance and risk managementActuarial modeling platforms (RAFM, Python, R, SQL, VBA)Independent model validation of actuarial and capital models

Role Summary

Role type

Capital and model risk strategy

Closer to capital and risk governance than a modelling-heavy IC role because the emphasis is independent challenge, validation standards and oversight rather than model production.

Requirements

Strongly preferred

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Financial Engineering, Physics or a related quantitative discipline
10+ years of experience in actuarial modeling, actuarial model validation, or a related actuarial function within the life insurance industry
Hands-on experience with statutory reporting, statutory valuation and reserving methodologies, including models supporting CARVM, VM-20, VM-21, and other U.S. statutory reserve requirements
Experience with Risk-Based Capital (RBC) modeling, reporting, and related regulatory frameworks
Strong understanding of actuarial model governance frameworks, model risk management principles, and model validation practices
Experience with actuarial modeling platforms and programming languages commonly used in the industry (e.g., RAFM, Python, R, SQL, VBA)
Demonstrated ability to independently assess model design, methodology, assumptions, implementation, data quality, and model performance
Ability to effectively challenge model owners and resolve technical, actuarial, and methodological disagreements through fact-based analysis and professional judgment
Strong analytical, problem-solving, and technical communication skills, with ability to communicate findings to senior management
ASA or FSA designation preferred

Skills & Domain

Role Summary

Role type

Capital and model risk strategy

Closer to capital and risk governance than a modelling-heavy IC role because the emphasis is independent challenge, validation standards and oversight rather than model production.

Requirements

Strongly preferred

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Financial Engineering, Physics or a related quantitative discipline
10+ years of experience in actuarial modeling, actuarial model validation, or a related actuarial function within the life insurance industry
Hands-on experience with statutory reporting, statutory valuation and reserving methodologies, including models supporting CARVM, VM-20, VM-21, and other U.S. statutory reserve requirements
Experience with Risk-Based Capital (RBC) modeling, reporting, and related regulatory frameworks
Strong understanding of actuarial model governance frameworks, model risk management principles, and model validation practices
Experience with actuarial modeling platforms and programming languages commonly used in the industry (e.g., RAFM, Python, R, SQL, VBA)
Demonstrated ability to independently assess model design, methodology, assumptions, implementation, data quality, and model performance
Ability to effectively challenge model owners and resolve technical, actuarial, and methodological disagreements through fact-based analysis and professional judgment
Strong analytical, problem-solving, and technical communication skills, with ability to communicate findings to senior management
ASA or FSA designation preferred

Skills & Domain

Role Summary

Role type

Capital and model risk strategy

Closer to capital and risk governance than a modelling-heavy IC role because the emphasis is independent challenge, validation standards and oversight rather than model production.

Requirements

Strongly preferred

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Financial Engineering, Physics or a related quantitative discipline
10+ years of experience in actuarial modeling, actuarial model validation, or a related actuarial function within the life insurance industry
Hands-on experience with statutory reporting, statutory valuation and reserving methodologies, including models supporting CARVM, VM-20, VM-21, and other U.S. statutory reserve requirements
Experience with Risk-Based Capital (RBC) modeling, reporting, and related regulatory frameworks
Strong understanding of actuarial model governance frameworks, model risk management principles, and model validation practices
Experience with actuarial modeling platforms and programming languages commonly used in the industry (e.g., RAFM, Python, R, SQL, VBA)
Demonstrated ability to independently assess model design, methodology, assumptions, implementation, data quality, and model performance
Ability to effectively challenge model owners and resolve technical, actuarial, and methodological disagreements through fact-based analysis and professional judgment
Strong analytical, problem-solving, and technical communication skills, with ability to communicate findings to senior management
ASA or FSA designation preferred

Role Summary

Role type

Requirements

Strongly preferred

Skills & Domain

Role Summary

Role type

Requirements

Strongly preferred

Skills & Domain

Role Summary

Role type

Requirements

Strongly preferred

Skills & Domain

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Role Summary

Role type

Requirements

Strongly preferred

Skills & Domain

Model Risk Analyst Manager | Hybrid

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