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 scenarios
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 approaches
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 questions
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 delays
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 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
Experience working with claims data, policy information, and underwriting systems
Background in predictive modeling or machine learning applications in insurance
Knowledge of the forefront of technology innovations and related insurance implications
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 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
Collaborative mindset with the ability to work effectively with cross-functional teams
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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