Data Scientist, Insurance
2 weeks ago
As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition's underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner.
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
- Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements. Lead cross-functional initiatives in area of expertise.
- Serve as both a technical lead and a mentor within the underwriting intelligence team.
- Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunities
- Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)
- 2+ 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
- 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
- Strong communication and analytical skills
- Intered to learn how to work on cybersecurity datasets using big data technologies (Snowflake, AWS Athena)
- Capable of working with remote teams
- Actuarial qualification
- Experience in cyber insurance or cyber security.
- Prior experience working with large datasets and big data technologies
- 100% medical, dental, and vision coverage
- Flexible PTO
- 14 weeks paid maternity leave and 8 weeks paid paternity leave
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs like Headspace, Lumino, and more
- Competitive compensation and opportunity for advancement
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