Associate Actuary – US Pricing

The Associate Actuary Pricing is responsible for supporting the timely completion of the pricing process according to SCOR methods and key controls for all assigned deals. Key transactional processes include assumption development actuarial model development model runs and sensitivities the generation of clear and thorough supporting documentation and performing peer reviews.

• Assess and develop pricing assumptions focused on mortality persistency sales mix and net amount at risk.
• Consider potential risks inherent in proposed transactions and assumptions and help determine risk mitigation strategies.
• Develop actuarial models including liability population cells data tables and other structures essential for the proper pricing of life reinsurance.
• Generate model runs and sensitivities; verify the accuracy and reasonability of metrics; analyze and quantify the impact of changes in assumptions methodologies premium structures etc.
• Create clear assumption and reasoning documentation for review with deal owners.
• Ensure pricing work follows the SCOR General Life and Health Underwriting and Pricing Guidelines meets accuracy requirements and profitability goals and that ICS processes and controls are followed and documented as necessary.
• Complete deal close out activities for accepted deals including communication and hand-off to valuation/modeling teams SQP Salesforce and CART updates.
• Assist with project related efforts on technical topics related to pricing standards processes methodologies and assumptions.
• Participate in the Actuarial Student Rotation program
• May perform other duties as required.

• Bachelors degree in Actuarial Science Mathematics Statistics Data Analytics Finance Economics or related areas
• Associate of the Society of Actuaries with current CPD compliance
• At least 2 years of life actuarial experience; pricing product development reinsurance industry experience preferred.
• Working knowledge of life insurance laws regulations insurance products and underwriting practices.
• Ability to analyze experience studies for assumption setting purposes.
• Understanding of the concepts underlying life actuarial modeling systems.
• Familiarity with AI and basic knowledge of statistical programming languages (Python experience preferred).
• Solid mathematical analysis skills with strong problem-solving ability.
• Effective written and oral communicator.
• Demonstrated skill in identifying and solving business needs.
• Takes initiative and exhibits a sense of urgency with a focus on results for external and internal clients.
• Effective multi-tasker with demonstrated comfort and ability to effectively manage and deliver on competing priorities.
• Must be able to work effectively independently and as part of a team with readiness to travel on occasion.
• Skilled at collaborating with others across offices and geographical locations.
• Ability to work within an Agile/SCRUM environment.
• Strong proficiency using Microsoft Office Products and demonstrated ability to learn new software/tools.
• Regular attendance and ability to work extended hours as necessary to meet deadlines.

Relocation assistance within the U.S. is available for this position.

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HybridWorkPolicy:SCORiscommittedtoanin officeculturewherepeoplecancollaborate

exchangeideas andestablishstrongerworkingrelationshipswhilestillprovidingflexibility. Tosupportemployeework-lifebalanceandincreaseopportunitiesforemployeestoexceleverydaySCORoperateswithahybridworkingarrangement.

SCORemployeeswork3daysperweekinanofficewiththeflexibilitytowork2daysperweekremotely.

PayRangeforrolesperformed in NC: $109500-$134000 basesalaryperyear.

Actualsalariesmayvarybasedonvariousfactorsincludingbutnotlimitedtolocationexperienceroleandperformance. TherangelistedisjustonecomponentofSCORstotalcompensationpackageforemployees.

Otherrewardsmayincludeannualbonusesshort-andlong termincentives.

Inadditionweprovideavarietyofbenefitstoemployeesincludinghealthinsurancecoveragelifeanddisabilityinsurancearetirementsavingplanpaidholidaysandpaidtimeoff.