обновлено 10 дней назад
Modeling Actuary (Python)
144 800 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Modeling Actuary (Python): Building, maintaining, and modernizing Python-based actuarial models and applications for participating whole life products and dividend management with an accent on model validation, governance, and sustainable development practices. Focus on converting legacy models, translating complex business requirements into maintainable solutions, and supporting assumption development, regulatory testing, and dividend liability analysis.
Location: Springfield, Massachusetts, United States
Salary: $144,800–$190,000 per year
Company
is an insurance company focused on long-term financial protection and participating whole life products.
What you will do
- Convert, enhance, and own the Python-based dividend modeling platform.
- Build maintainable, well-documented solutions from business requirements and analytical requests.
- Partner with actuarial subject matter experts on model validation, testing, and production readiness.
- Establish development standards, testing frameworks, documentation, and modeling best practices.
- Contribute to assumption development, regulatory testing, and dividend liability analysis.
Requirements
- Bachelor’s degree in actuarial science, mathematics, statistics, data science, computer science, engineering, or a related quantitative or technical field.
- ASA designation.
- 5+ years of actuarial experience in insurance, financial services, or a related quantitative field.
- 3+ years of Python programming experience supporting analytical, actuarial, or modeling applications.
- Experience developing, maintaining, validating, or enhancing complex actuarial, financial, or quantitative models.
- Ability to translate business requirements into maintainable solutions and manage multiple priorities independently.
Nice to have
- FSA designation.
- Experience with participating life insurance product design, pricing, modeling, or inforce management.
- Experience modernizing or converting legacy actuarial models.
- Knowledge of model controls, governance, risk management, and model development best practices.
- Strong collaboration and communication skills across technical and non-technical audiences.
Culture & Benefits
- Collaboration with actuarial and business experts responsible for dividend management processes.
- Ownership of work connected to company and customer outcomes.
- Learning, development, and internal networking opportunities.
- Employee-led communities and forums supporting connection, learning, and inclusion.
- Culture centered on integrity, responsibility, and stewardship.
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