Actuary Modeler

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Design and improve actuarial code within the US liability libraries, supporting life, annuity, and health insurance products.

• Examine and address intricate actuarial modeling issues with a significant level of independence.

• Assess actuarial code created by colleagues to ensure precision, quality, and suitability.

• Guarantee that actuarial product deliverables are precise, thoroughly documented, and fulfill customer and business expectations.

• Collaborate with other actuarial teams to create and implement comprehensive modeling solutions.

• Assist in enhancing Prophet modeling capabilities in response to developments in insurance products, regulations, and reporting.

• Effectively communicate with internal stakeholders and external partners, including clients and vendors.

⛳️ Requirements

• Bachelor’s degree in Mathematics, Actuarial Science, or another quantitative or science-based field.

• Minimum of 5 years of experience in a life insurance organization or actuarial consulting setting.

• Associate or Fellow of the Society of Actuaries (SOA), or a Member of the American Academy of Actuaries (MAAA).

• At least 5 years of experience utilizing Prophet, or equivalent experience with actuarial modeling platforms, including participation in significant business or modeling projects.

• In-depth knowledge of the US insurance industry and relevant regulatory and financial reporting frameworks.

• Understanding of US Statutory pre-PBR and PBR requirements, US GAAP pre-LDTI and LDTI requirements, US Tax reserves, and asset/liability management or cash flow testing.

• Strong analytical and problem-solving abilities with the capacity to assess complex actuarial modeling needs.

• Proficient in Microsoft Excel, Word, and PowerPoint.

• Familiarity with the US actuarial libraries provided with Prophet, ideally the US 360 libraries.

• Experience with advanced Prophet modeling techniques, including new business processing, calculation looping, rebasing, goal seeking, extended formulas, nested structures, modules, and dynamic or stochastic modeling.

• Awareness of potential model performance constraints and strategies for optimizing model efficiency.

• Technical expertise in programming and systems development.

• Knowledge of cloud infrastructure and technology.

🏝️ Benefits

• Opportunities to make an impact in fintech.

• Personal and professional growth.

• Inclusive and diverse workplace.

• Resources to contribute to your community.

• Competitive salary and benefits.