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Reinsurance Actuarial Analyst

Berkley Re Solutions (a Berkley Company)
Naperville, IL Full Time
POSTED ON 8/5/2025 CLOSED ON 9/4/2025

What are the responsibilities and job description for the Reinsurance Actuarial Analyst position at Berkley Re Solutions (a Berkley Company)?

Company Details

A reinsurer that's expanding distribution where we can strategically deploy our paper, product development & capacity for reinsurance, programs & bolt-on/turnkey products including Workplace Violence (Commercial), Violent Event Coverage (Personal) Cyber Liability (Commercial, Personal & Farm), Contractors Professional and EPLl. We work with carriers, MGAs, PAs, agents, captives, embedded partners & more.

Responsibilities

The Actuarial Analyst will be responsible for performing various levels of analysis related to reserving and data analytics. The role will be responsible for organizing, reconciling and preparing data for reserve analyses and using the company’s reserving software for quarterly reserve reviews. The analyst will partner with the actuarial team members to harness internal and external data to deliver data analysis to assist the company’s business partners in strategic business decisions through evidenced based data.

  • The analyst will collaborate with other members of the actuarial team and apply appropriate actuarial reserving techniques to determine ultimate losses and participate in the quarterly close process.
  • Partner with actuarial team to implement best practice analytical techniques and assess the impact of loss trends and claims emergence.
  • Partner with claims and underwriting departments to understand changes in each environment and work to incorporate and explain new assumptions into the reserve analysis.
  • Review internal and external data regarding inflation and its impact on claims for various lines of business.
  • The analyst participates in evaluating the current reserving process and tools and works to provide innovative solutions to create efficiency and excellence in the process.
  • Develop tools to illustratively communicate drivers of performance and bring multiple data sources together to communicate key metrics to business customer.
  • Partner with actuarial team members and IT to collect, interpret, gather and reconcile data for predictive analytics.
  • Assist in the transition from legacy systems to new enterprise platforms.

Qualifications

  • Bachelor’s degree in a related field (mathematics, actuarial science, statistics, or equivalent)
  • Minimum of 3 Casualty Actuarial Exams Completed
  • Minimum of 3 years of casualty actuarial experience with emphasis on reserving
  • Excellent interpersonal and communication skills
  • Ability and desire to work in a small but dynamic company environment
  • Required: Strong knowledge of MS Office tools (Excel, Outlook, Word, PowerPoint)
  • Required: Strong knowledge of SQL
  • Preferred: intermediate knowledge of Power BI / Tableau
  • Preferred: intermediate knowledge of R and Python
  • Strong problem solving and communication skills
  • Strong organization skills and ability to multitask and prioritize multiple tasks at once
  • Ability to work outside normal work schedule to fulfill responsibilities

Additional Company Details

The Company is an equal employment opportunity employer.

We do not accept any unsolicited resumes from external recruiting firms.

The company offers a competitive compensation plan and robust benefits package for full time regular employees.

Base salary range: $110,000 - $160,000.

The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

This role is eligible to participate in the annual discretionary bonus program.

Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans.

Sponsorship Details

Sponsorship not Offered for this Role

Salary : $110,000 - $160,000

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