Pricing Actuary

Bhhc; Plano (TX); Hybrid; USD 140,000 - 230,000; Full time

Benefits offered by this job

Bonus Eligibility

Hybrid Work Schedule (up to 2 days WFH

Paid Time Off

Paid Holidays

retirement savings with company match

Health Insurance (Medical, Dental, and

Vision

Job summary

Berkshire Hathaway Homestate Companies seeks a Pricing Actuary to steer pricing strategies for Workers Compensation across regions and products. This role analyzes industry and company data to guide pricing decisions and supports pricing models and analytics tools.

The candidate will work with data analytics, underwriting, marketing, and other teams to illuminate insights, present findings clearly, and validate assumptions for business partners.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Risk Management, or related quantitative field.
• Fellow or Associate of the Casualty Actuarial Society strongly preferred; Predictive Modeling accreditation desirable.
• 7+ years FCAS/ACAS experience with pricing focus and predictive modeling.
• Proficiency in statistical analysis and modern data tools.

Responsibilities

• Review rate adequacy and provide recommendations for deviations from standard assumptions.
• Enhance and refine pricing models and develop new models to support strategic objectives.
• Monitor legislative and regulatory activity and ensure compliance in reporting.
• Develop analytical standards and procedures for consistent analysis and knowledge sharing.
• Engage with industry organizations and present as a subject-matter expert.

Skills

Problem solving

Statistical analysis

Interpersonal

Innovation & initiative

Business focus

Data visualization

Education

Bachelor’s degree in Statistics/Mathematics/ Risk mgmt

Tools

R

Python

SAS

SQL

Job description

WHAT WE'RE LOOKING FOR

Berkshire Hathaway Homestate Companies has an immediate vacancy for a Pricing Actuary to join its Actuarial team. This individual is responsible for integrating industry and company performance data to develop and implement pricing strategies across various regions, markets, and products within our Workers Compensation business. Additionally, this position will provide essential technical support to guide the effective use of the company’s pricing models and analytical tools.

Works closely and communicates effectively with internal and external clients, data analytics team, actuaries, underwriting, marketing, and other departmental teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Ability to present findings back to the business by exposing assumptions and validations in a way that can be easily understood by business counterparts is essential.

RESPONSIBILITIES

• Review rate adequacy and provide recommendations when deviations and revisions from standard assumptions are appropriate.
• Enhance and refine existing pricing models and develop new pricing models to support the Company’s strategic objectives.
• Monitor legislative and regulatory activity and ensure compliance in mandated reporting.
• Develop and maintain analytical standards and procedures, including peer reviews, to ensure consistency across department of analysis, execution, knowledge sharing and documentation.
• Actively engage with and participate in industry professional organizations and rating committees, representing the Company’s strategic interests while presenting as an expert thought leader within the professional community.

QUALIFICATIONS

• Education: Bachelor’s degree in Statistics, Mathematics, Risk Management, or other related quantitative field, required.
• Certifications/ Licenses: Fellow or Associate of the Casualty Actuarial Society strongly preferred. Predictive Modeling accreditation desirable.
• Experience: Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. Experience with statistical computer languages and fluency with "big data" tools (R, Python, SAS, SQL, etc.) to manipulate data and draw insights from large data sets is preferred.
• Required technical skills: In-depth knowledge of insurance industry, programming, and current technologies used in predictive modeling and statistical analysis. Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.). Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

KEY SKILLS

• Problem‑solving: Logical thought process, ability to gather and analyze information, and provide solutions in complex situations.
• Statistical analysis: Studies industrial, business, and technological trends and forecasts; differentiates data sources for validity, reliability, and credibility.
• Interpersonal: Solid team‑builder, result oriented, creative and strategic thinker with innovative problem‑solving skills; approachable and trustworthy; strong bond with executives and stakeholders.
• Innovation & initiative: Drive to learn and master new technologies and techniques; employs sound judgment to deploy innovations for higher returns.
• Business focus: Leads discussions with senior leaders and internal partners to support strategic planning and decision making.
• Data visualization & communication: Explains and illustrates context of complex inter‑related situations to a wide and diversified audience.

BENEFITS

• Bonus Eligibility
• Hybrid Work Schedule (up to 2 days work from home)
• Paid Time Off
• Paid Holidays
• Immediate Vesting of Retirement Savings + Company Match
• Group Health Insurance (Medical, Dental, and Vision)
• Life and AD&D Insurance
• Long Term Disability Insurance
• Hospital Indemnity Insurance
• Accident and Critical Illness Insurance
• Flexible Savings Accounts
• Paid Community Volunteer Day
• Employee Assistance Program
• Tuition Reimbursement Program
• Employee Referral Program
• Diversity, Equity and Inclusion Program