Coalition is looking to measure, understand, and optimize its underwriting processes by leveraging data-driven insights to improve cyber risk selection, reduction, pricing, and automation, ultimately aiming for safe and efficient revenue growth.
Requirements
- Expertise in data manipulation and analysis using SQL and Python, or similar analytical tools
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
- Experience with development and monitoring of insurance models
- Experience with dashboard creation for operational metrics tracking
- Intered to learn how to work on cybersecurity datasets using big data technologies (Snowflake, AWS Athena)
- Experience in cyber insurance or cyber security.
- Prior experience working with large datasets and big data technologies
Responsibilities
- Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights
- Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations
- Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing.
- Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions
- Apply statistical techniques to evaluate and improve our cyber risk assessment methodology
- Provide analytical support for underwriting strategies to balance growth with risk management
- Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies
Other
- Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)
- 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry
- Knowledge of underwriting, pricing, reserving, or risk management processes in insurance
- Strong communication and analytical skills
- Capable of working with remote teams
