Jackson

ALM Lead

Lansing, MI

Sponsorship not specifiedDetected 30 days ago

Project ManagementFinancial ModelingFinancial AnalysisExcelHRISCommunicationProblem SolvingPublic SpeakingActuarial ScienceCFA

About the role

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Jackson is proud to be an equal opportunity workplace.
The Company is committed to a policy of equal opportunity.

5+ years experience in a similar role performing complex statistical, economic, or financial analysis required.
Master's Degree or PhD or professional certifications (e.g. CFA, ASA/FSA) preferred.
5+ years of significant ALFA (or similar actuarial software) modeling experience preferred.
Experience with economic reserve & capital frameworks preferred.
Database experience preferred.
Jackson is proud to be an equal opportunity workplace. The Company subscribes to and endorses federal and state laws and regulations relating to equal employment opportunity for all persons without regard to race, color, religion, gender, age, national origin, legally-recognized disability, marital status, legally-protected medical condition, citizenship, ancestry, height, weight, sexual orientation, veteran status, or any other factor not related to the needs of the job. The Company is committed to a policy of equal opportunity. Company facilities and campuses are tobacco-free environments.

Prepares weekly and monthly analyses for use in decision making by the ALM department or reporting to the Asset Liability Committee (ALCO).
Reviews work product of less experienced analysts and provides training, as necessary.
Excellent understanding of financial mathematics and modeling.
Strong knowledge of actuarial principles and methodologies underlying insurance liability valuations.
Strong knowledge of financial instruments/derivatives.
Strong analytical and problem-solving skills with the ability to effectively resolve complex problems and issues.
Ability to handle multiple priorities in a timely and accurate manner and adapt to changing priorities as needed.
Strong verbal and written communication skills especially when articulating technical concepts in a compelling manner to engage both technical and non-technical audiences.

gion, gender, age, national origin, legally-recognized disability, marital status, legally-protected medical condition, citizenship, ancestry, height, weight, sexual orientation, veteran status, or any other factor not r

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