Summary
Join Coalition, a leading Active Insurance provider, as an experienced insurance data modeler. You will be instrumental in building and maintaining data and modeling pipelines for key pricing functions across cyber and executive risk lines. This role demands optimization of processes to enhance efficiency, monitoring, and data-driven decision-making. Collaborate with cross-functional teams to understand cyber risk and optimize our rating structure. You will develop and maintain actuarial data pipelines, automate actuarial processes, develop risk controls, and create tools to assess model performance. The ideal candidate will be innovative, data-driven, and possess strong communication skills.
Requirements
- 3+ years of experience in insurance predictive modeling
- Undergraduate degree in Actuarial Science, Data Science or any other related field
- Strong programming skills in Python, SQL and/or R
- Ability to build transactional data pipelines
- Excellent communication skills including ability to simplify complex technical concepts to non-technical audiences
- Ability to take ambiguous problems and solve them in a structured data-driven way
- Intellectual curiosity and an interest in our mission of solving cyber risk
- Strong understanding of actuarial pricing concepts
- Ability to work efficiently in a fast paced environment, be creative and think outside the box
Responsibilities
- Development and maintenance of actuarial data pipelines with relevant metrics and analysis that are scalable, efficient, accurate and complete, to enable data-informed pricing decisions
- Automation and enhancement of actuarial processes in reserving, pricing and actuarial modeling teams
- Development of risk controls, including price monitoring and early warning indicators
- Development of tools to assess model & business performance, including UI dashboards
- Seek innovative opportunities to enhance model performance through new data, features or modeling techniques
- Perform, document and present ad hoc quantitative analysis
- Straddle the worlds of insurance, data science, engineering and security experts to shape the most suitable data-driven solutions
- Act as an ambassador to get model users buy-in through strong collaboration with all relevant partners
Preferred Qualifications
- Cyber and/or executive liability experience
- Has completed some actuarial exams
- Master degree in Data Science or Actuarial Science
- Ability to build UI/UX design
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
Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.