Senior Data Scientist, Insurance

About the role

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

Skills and Qualifications

• 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
• 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

Bonus Points 

• Actuarial qualification
• Experience in cyber insurance or cyber security.
• Prior experience working with large datasets and big data technologies

Perks

• 100% medical, dental and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
• Competitive compensation and opportunity for advancement