Senior Data Scientist

About us

Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.   

Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.

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 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

• 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

Nice-to-have Skills

• 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)

Perks

• 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