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Job ID: 34517
Job Openings by Title Senior Assistant Actuary
Location Ontario, Canada
Description:
Position:	Senior Assistant Actuary

Company:	Reinsurance

Location:	Ontario

Job ID:		34517


Responsibilities:

- Develop and implement Prophet Valuation models to produce cash flows and balance sheet entries for regulatory and financial reporting.
- Develop modelling and process methodologies to optimize the company’s return on capital related to process improvement projects.
- Provide support on reviews of actuarial software and valuation reporting processes.
- Understand the company’s current processes, how they interrelate, and relate this information to others in a clear and concise manner.

Qualifications:

- Bachelor’s degree in Math, Finance, Statistics, Actuarial Science, or a related field.
- ASA and 1+ FSA exam.
- 4+ years of actuarial experience in life insurance.
- Master's degree in Math, Finance, Actuarial Sciences, Statistics or related field preferred.
- Experience in valuation or pricing for traditional life business preferred.
- Expertise in Prophet and/or AXIS.
- Advanced PC and technical skills, including database applications, spreadsheets, statistical programs and actuarial software knowledge of valuation methodologies commonly used by insurance companies.
- Advanced oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received.
- Able to perform the following: Work well within a team environment, participate in department/team projects and balance detail with departmental objectives, quickly adapt to new methods and work under tight deadlines, manage multiple projects simultaneously across physical locations, Liaise with individuals across a wide variety of operational, functional, and technical disciplines.
- Advanced level of investigative, analytical and problem solving skills, supplemented by a willingness to advance their ability to model various insurance products and reinsurance structures.
- Understanding of liability modeling techniques preferred.
- Reinsurance industry and product knowledge preferred.




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