Berkley Small Business Solutions (BSB) is committed to providing small business customers with the next generation of small business solutions, including offering operational, underwriting, and marketing opportunities. We offer insurance products to Small Business Owners for transportation and other main street businesses.  We leverage underwriting expertise, data, and analytics, and automation for risk assessment, selection, pricing retention. We champion our customers, distribution always seeking a smarter way to provide a more efficient and better user experience. 

We are a proud member of W. R. Berkley Corporation, one of the largest commercial lines property casualty insurance holding companies in the United States. With the resources of a large Fortune 500® corporation and the flexibility of a small company, we exclusively work with select independent agents to bring technology solutions that help them build their business.

The Actuarial Analyst will support pricing, underwriting, and strategic initiatives for small commercial Property & Casualty insurance products. This role blends traditional actuarial analysis with modern data science, programming, and AI-enabled techniques. The analyst will work closely with actuarial, underwriting, product, claims, and technology teams to drive insight, improve risk selection, and enhance pricing sophistication. 

• Perform actuarial analyses supporting pricing, profitability, and portfolio management for small-commercial P&C products. 
• Analyze loss experience, trends, and rate adequacy using internal and external data sources. 
• Develop and maintain rating indications, segmentation analyses, and predictive models where appropriate. 
• Partner with underwriting and product teams to evaluate coverage, limits, deductibles, and pricing structures. 
• Utilize Python and related libraries to automate analyses, build reproducible workflows, and improve analytical efficiency. 
• Leverage AI tools and APIs (e.g., large language models, data enrichment services) to support research, automation, and insight generation. 
• Assist with regulatory filings, documentation, and support materials as required. 
• Support ad‑hoc actuarial, financial, and strategic analyses for leadership. 
• Contribute to data quality initiatives and collaborate with technology teams on data and analytics architecture. 
• Communicate results clearly to both technical and non‑technical stakeholders. 

May perform other functions as assigned

• 1-5 years of relevant work experience.
• Progress towards Casualty Actuarial Society designation is a plus.
• Experience or strong interest in small-commercial Property & Casualty insurance. 
• Proficiency in Python for data analysis and automation (e.g., pandas, numpy, matplotlib, scikit-learn). 
• Experience using or integrating AI tools and APIs for analysis, automation, or decision support. 
• Solid understanding of actuarial pricing concepts, loss modeling, and insurance fundamentals. 
• Strong analytical, problem‑solving, and critical‑thinking skills.
• Ability to work with large, complex datasets from multiple sources. 
• Effective written and verbal communication skills; ability to explain technical concepts clearly.
• High level of attention to detail, intellectual curiosity, and ownership mindset

Education 

• Four-year college degree, preferably in area of Actuarial, Mathematics or Statistics.

The Company is an equal employment opportunity employer.

We do not accept unsolicited resumes from third party recruiting agencies or firms.

The company offers a competitive compensation plan and robust benefits package for full time regular employees including:
• Base Salary
• Benefits include Health, dental, vision, dental, life, disability, wellness, paid time off, 401(k) and profit-sharing plans

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.

Travel: Occasional

Sponsorship not Offered for this Role