Insurance Price Modeling Lead

at  Coalition Inc

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 broad insurance coverage with a digital risk assessment and continuous security monitoring to help organizations protect themselves in today’s hyper-connected world.
Opportunities to make an impact with bold thinking are real - and happening daily.

SKILLS AND QUALIFICATIONS

• 7+ years of experience in predictive modeling with at least 3+ years of experience in the P&C Insurance field.
• Undergraduate degree in Actuarial Science, Data Science or any other related field
• Strong modeling skills, with extensive knowledge of linear and non-linear modeling techniques and their real world advantages/drawbacks
• Strong programming skills in R, Python, and/or SQL
• 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

WHY COALITION?

We’re a remote-first, mission-driven team committed to building a more inclusive culture with people of all different backgrounds. We trust our team members to take responsibility, share ownership, and put in the work to help us in our pursuit to solve digital risk.
Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes and remain true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.
We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.
Visit our Newsroom >

ANTI-DISCRIMINATION NOTICE

Coalition is proud to be an Equal Opportunity employer. It is our policy to provide equal opportunity to all individuals seeking employment without regard to race, color, religion, religious creed, national origin, age, sex, marital status, ancestry, physical or mental disability, military or veteran status, gender, gender identity, gender expression, sexual orientation, medical condition, genetic information, or any other protected category under federal, state, or local law. We also prohibit harassment or discrimination of applicants based on the above-protected categories. This policy covers all aspects of employment, including but not limited to, recruitment, selection, training, promotion, transfer, compensation, demotion, and termination of employment.

ABOUT THE ROLE

Coalition is looking for a seasoned insurance predictive modeler to help build out our world-class modeling team. This role comes with a significant amount of ownership and demands a high level of technical skill paired with strong communication. You will be responsible to create and maintain modeling pipelines for many key pricing functions across the cyber and executive risk lines. You will consistently strive for the best modeling techniques to support the business needs while always seeking for the enhancement of our operational efficiency. You will work in a cross-team collaboration environment to develop new ways to model and 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 modeling pipelines framework with relevant metrics and analysis that are scalable, efficient, accurate and complete, to enable data-informed pricing decisions
• Model Governance, including ongoing model monitoring and clear understanding of model limitations
• Development of tools to assess model performance and provide meaningful insights to non-technical stakeholders
• 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 and digestible presentations to non-technical audiences
• Provide coaching and learning opportunities to junior team members