обновлено 4 дня назад
Senior Actuarial Analyst (Cyber Pricing)
120 000 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Actuarial Analyst (Cyber Pricing): Developing actuarial pricing and risk analytics for cyber and technology errors and omissions insurance products with an accent on portfolio profitability, rate indications, and data-driven underwriting decisions. Focus on evaluating pricing initiatives, automating analytical processes, analyzing customer economics, and collaborating with underwriting, claims, product, and decision engine teams.
Location: Remote (US)
Base salary: $120,000–$135,000 per year
Company
is an InsurSec provider combining cyber insurance with cybersecurity technology to help businesses prevent and manage digital risk.
What you will do
- Manage program profitability and improve pricing accuracy for Cyber and Tech E&O insurance products.
- Develop quarterly rate indications, pricing proposals, and recommendations for business stakeholders.
- Quantify the business impact of pricing, underwriting, and risk-related initiatives.
- Analyze customer acquisition, retention, product performance, and competitor rating plans.
- Build tools and automate processes to improve rate indication efficiency and product visibility.
- Collaborate with Insurance and Tech Product, Underwriting, Claims, Data Science, and Decision Engine teams.
Requirements
- Experience evaluating insured portfolio profitability using actuarial techniques and communicating results to leadership.
- Experience solving complex business problems cross-functionally with underwriting, product, data science, claims, or analytical teams.
- Four or more passed exams toward ACAS, FCAS, or an equivalent designation.
- Proficiency with Excel and SQL, plus experience with Python and/or R.
- Experience developing process automation tools and analyzing pricing or underwriting structures.
Culture & Benefits
- Work with a growing actuarial pricing team within the risk function.
- Collaborate with specialists in modeling, risk analytics, insurance, technology products, and decision engines.
- Use technology to improve efficiency and reduce duplicative work.
- Contribute data-backed insights to decisions involving significant insurance risk and financial exposure.
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