Insurance Analytics Senior Consultant; Actuar

San Francisco, California, United States of America

At Lockton, we’re passionate about helping our people achieve their ultimate potential. Our people are curious, action-oriented and always striving to make ourselves and those around us better. We’re active listeners working to ensure understanding and problem solvers developing innovative solutions. If you can see yourself delivering excellent service to clients, giving back to our communities and being a part of our caring culture,
you belong here.

We seek a Senior Insurance Analytics Specialist/Actuary to join our team. In this role, you will be part of an engaging and dynamic brokering team building insurance products that use creative analytics solutions to advocate for our clients. You will also lead our conversations between our account team and our internal analytics partners, ensuring data completeness and quality, and managing workflow and work quality.

The ideal candidate will have a strong foundation in insurance analytics, a solid understanding of fundamental insurance concepts, and the ability to transform complex data into actionable insights.

• Advanced Analytics for Bespoke Analysis:
  • Spearhead sophisticated analytical research on specialized insurance topics, including innovative initiatives in autonomy and actuarial research
  • Design and implement analytical models to evaluate risk factors, pricing implications, and coverage considerations for specialized insurance scenarios
  • Translate complex insurance data into meaningful insights that drive strategic decision-making
  • Research industry trends and emerging risks to provide proactive recommendations on underwriting approaches
  • Co‑develop internal analytics initiatives by applying statistical techniques to uncover patterns and relationships within insurance data
• Data Review and Workload Management with our internal Analytics partners:
  • Lead our relationship between our team and internal analytics partners
  • Mitigate data discrepancies or missing elements independently
  • Develop and execute standardized data preparation procedures to ensure efficient workload management, streamline the review process, and minimize delays

• Required Qualifications:
  • Bachelor's degree in Analytics, Statistics, Actuarial Science, Finance, Economics, Insurance, or related field
  • At least 7-10 years of experience in insurance analytics, data analysis, or a related role within the insurance industry
  • Demonstrated superior understanding of fundamental insurance concepts, including supply/demand dynamics, loss components, and their interrelationships
  • Proficiency in data analysis tools such as Excel, SQL, and Python
  • Experience with data quality assurance processes and validation methodologies
  • Strong analytical skills with the ability to interpret complex datasets and identify meaningful patterns
• Preferred Qualifications:
  • Insurance industry certifications such as ACAS, CPCU, or ARM
  • Deep understanding working with claims data, policy information, and underwriting systems
  • Background in predictive modeling or machine learning applications in insurance
  • Extensive experience of the forefront of technology innovations and related insurance implications
• Skills and
  
  Competencies:
  
  
  • Exceptional attention to detail and commitment to data accuracy and integrity
  • Strong critical thinking and problem‑solving abilities to address complex analytical challenges
  • Collaborate effectively across internal teams and external partners by understanding diverse stakeholder priorities and delivering solutions that align technical requirements with organizational objectives
  • Excellent communication skills to adapt communication approaches and translate technical findings into business insights
  • Self‑motivation and the ability to work independently while managing multiple priorities
  • Advanced knowledge of insurance industry terminology, products, and regulatory considerations
• Working Conditions:

  This full‑time position primarily operates in an office environment. The role may require occasional travel to meet with partners or attend industry events. Some flexibility in work scheduling may be necessary to meet project deadlines.

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