Senior Data Scientist

Coalition, Inc.

7h•CA$123,600 - CA$187,000•Remote

About The Position

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.

Requirements

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 Haves

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)

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