Summary
Join Coalition as a Data Scientist and contribute to optimizing underwriting by performing statistical analysis and providing data-driven insights. You will analyze diverse datasets, create comprehensive reports, and apply statistical techniques to improve cyber risk assessment. Collaborate with cross-functional teams to implement data-driven improvements and support the development of automated underwriting systems. This role requires a proactive approach and effective collaboration with senior team members. The position offers opportunities to work with large datasets and contribute to a growing company.
Requirements
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)
- 3-6+ 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
- Advanced SQL skills for querying complex databases and joining disparate data sources
- Expertise in data manipulation and analysis using Python, R, or similar analytical tools
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
- Experience with dashboard creation for operational metrics tracking
- Strong communication and analytical skills
- Capable of working with remote teams
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
- 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
- Deliver analysis that will directly inform the development of automated underwriting systems
- Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements
- Work alongside senior data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition
- Intellectual curiosity and proactive approach to identifying improvement opportunities
- Ability to work effectively with guidance from senior data science team members
Preferred Qualifications
- Actuarial qualification
- Experience in cyber insurance or cyber security
- Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena)
Benefits
- 100% medical, dental, and vision coverage
- Flexible PTO
- 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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