About us
Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.
Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.
About the role
The Reserving Actuarial Analyst evaluates and monitors loss reserves across multiple lines of business to ensure accurate, reliable financial results. They combine technical reserving expertise with business insight to support quarterly reserve reviews, profit share analyses, and financial reporting. This role partners closely with finance, claims, engineering, and underwriting teams to translate emerging loss trends into actionable insights that guide strategic decision-making.
Responsibilities
- Perform quarterly reserve analyses and profit share analyses using standard actuarial methodologies to support accurate booked reserves and financial reporting.
- Extract, transform, and analyze large datasets to build and maintain reserving exhibits, reserve triangles, and monitoring dashboards.
- Partner with Claims, Finance, Underwriting, and other teams to understand loss drivers, identify emerging trends, and assess their impact on reserves.
- Assist in refining reserving methodologies, assumptions, and governance processes to strengthen consistency, transparency, and control.
- Prepare clear actuarial reports and presentations for senior management, regulators, and external stakeholders, highlighting key findings and recommendations.
- Contribute to process improvements and automation initiatives that make reserving analyses more efficient, repeatable, and scalable.
Skills and Qualifications
- 4+ years of P&C actuarial experience, with direct or strong exposure to reserving.
- Progress toward ACAS/FCAS through successful completion of multiple actuarial exams and an interest in continuing that journey.
- Bachelor’s degree in actuarial science, mathematics, computer science, statistics, or a related quantitative field.
- Strong Excel experience for building and maintaining actuarial models, summaries, and analyses.
- Experience working with large datasets; familiarity with tools such as SQL, R, or Python to manipulate and analyze data.
- Experience working in a fast-paced environment, with a track record of managing multiple projects and meeting target dates without sacrificing quality.
- Clear and concise communication skills, including experience presenting technical results to both actuarial and non-actuarial audiences.
- High attention to detail, with a focus on accuracy, documentation, and reproducibility of analyses.
Bonus Points