Job Summary:

We seek an experienced 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 uses creative analytics solutions to advocate for our clients. You will also serve as the daily liaison between our account team and our internal analytics partners, ensuring data completeness and quality, as well as 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.

Key Responsibilities

Advanced Analytics for Bespoke Analysis
• Perform 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 scenario
• Translate complex insurance data into meaningful insights that drive strategic decision-making
• Develop data visualization tools to communicate analytical findings to stakeholders at various levels effectively
• Research industry trends and emerging risks to provide proactive recommendations on underwriting approache
• Support 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
• Serve as the primary liaison between our team and internal analytics partners, anticipating their data requirements and question
• Conduct comprehensive data validation checks to ensure completeness and accuracy
• Identify and resolve data discrepancies or missing elements independently
• Develop and implement standardized data preparation procedures to ensure efficient workload management, streamline the review process, and minimize delay

Requirements:

Required Qualifications
• Bachelor's degree in Analytics, Statistics, Actuarial Science, Finance, Economics, Insurance, or related field
• At least 4-6 years of experience in insurance analytics, data analysis, or a related role within the insurance industry
• Demonstrated understanding of fundamental insurance concepts, including supply/demand dynamics, loss components, and their interrelationship
• Proficiency in data analysis tools such as Excel, SQL, and Python
• Experience with data quality assurance processes and validation methodologie
• Strong analytical skills with the ability to interpret complex datasets and identify meaningful pattern

Preferred Qualifications
• Insurance industry certifications such as ACAS, CPCU, or ARM
• Experience working with claims data, policy information, and underwriting system
• Background in predictive modeling or machine learning applications in insurance
• Knowledge of the forefront of technology innovations and related insurance implication
• Experience with data visualization tools like Tableau or Power BI

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 challenge
• Collaborate effectively across internal teams and external partners by understanding diverse stakeholder priorities and delivering solutions that align technical requirements with organizational objective
• Excellent communication skills to adapt communication approaches and translate technical findings into business insight
• Self-motivation and the ability to work independently while managing multiple prioritie
• Collaborative mindset with the ability to work effectively with cross-functional team
• Advanced knowledge of insurance industry terminology, products, and regulatory consideration

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.