Insurance Price Modeling Analyst
To see similar active jobs please follow this link: Remote Design jobs
About the Role
Coalition is looking for an experienced insurance data modeler to help build out our world-class modeling team. You will be responsible to create and maintain data and modeling pipelines for many key pricing functions across the cyber and executive risk lines. This role comes with a significant focus on the optimization of our processes in order to improve our operational efficiency, enhance our monitoring framework and ease our ability to take data-driven decisions. You will work in a cross-team collaboration environment to develop new ways to understand risk in order to optimize our rating structure.
We’re looking for someone who will roll up sleeves to always push the boundaries and provide the best to our customers and who can bring unique ideas to the table, explore new methods/technologies and always seek for the next best improvement.
Responsibilities
Core price modeling responsibilities include:
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
Skills and Qualifications
3+ years of experience in insurance predictive modeling
Undergraduate degree in Actuarial Science, Data Science or any other related field
Strong programming skills in R, Python, and/or SQL
Ability to build transactional data pipelines
Excellent communication skills including ability to vulgarize 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
Bonus Skills
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
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, Gympass, and more)!
Competitive compensation and opportunity for advancement
About the job
Insurance Price Modeling Analyst
To see similar active jobs please follow this link: Remote Design jobs
About the Role
Coalition is looking for an experienced insurance data modeler to help build out our world-class modeling team. You will be responsible to create and maintain data and modeling pipelines for many key pricing functions across the cyber and executive risk lines. This role comes with a significant focus on the optimization of our processes in order to improve our operational efficiency, enhance our monitoring framework and ease our ability to take data-driven decisions. You will work in a cross-team collaboration environment to develop new ways to understand risk in order to optimize our rating structure.
We’re looking for someone who will roll up sleeves to always push the boundaries and provide the best to our customers and who can bring unique ideas to the table, explore new methods/technologies and always seek for the next best improvement.
Responsibilities
Core price modeling responsibilities include:
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
Skills and Qualifications
3+ years of experience in insurance predictive modeling
Undergraduate degree in Actuarial Science, Data Science or any other related field
Strong programming skills in R, Python, and/or SQL
Ability to build transactional data pipelines
Excellent communication skills including ability to vulgarize 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
Bonus Skills
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
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, Gympass, and more)!
Competitive compensation and opportunity for advancement