[Hiring] Senior Data Scientist @Coalition, Inc.

Role Description

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.

• 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 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.

Qualifications

• Bachelor'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.
• 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.

Requirements

• Actuarial qualification (nice-to-have).
• Experience in cyber insurance or cyber security (nice-to-have).
• Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) (nice-to-have).

Benefits

• 100% medical coverage, including outpatient care.
• Life insurance.
• 25+ paid holidays.
• Annual home office stipend.
• 7% employer pension contribution.
• Mental and physical health wellness programs like Headspace, Wellhub.
• Competitive compensation and opportunity for advancement.