Senior Research Actuarial Analyst at Openly

We are seeking a Senior Actuarial Analyst to join the Research team at Openly.  You will play a critical role in guiding strategic decisions across insurance product, reinsurance, and operations by providing insight into various future growth and profitability outcomes.  In addition to performing comprehensive analysis, we will continuously improve the underlying models and analytical frameworks – leveraging cutting edge technology and data science methods to maximize signal extraction from our rapidly growing data. 

As a member of the Actuarial & Product Analysis team within Insurance Product Research, you will be supported by data scientists and actuarial engineers.  We are looking for a self-motivated, high-energy individual who thrives in a fast-paced, performance-driven environment.

Our tech stack consists of GitHub, GCP/BigQuery, Python.

Key Responsibilities

• Enhance and expand our loss and premium forecasting capabilities, revolutionize our approach to monitoring actual outcomes, uncover insights, and translate findings into valuable product enhancement recommendations, driving the success of the organization. 
• Collaborate closely with our Actuarial Engineering and Prediction Engineering teams, leveraging advanced modeling tools to construct a durable forecasting framework, harnessing the power of cutting-edge technology and data-driven insights to develop a robust system that enables accurate and insightful forecasts.
• Support the refinement of our actuarial analytics framework by contributing to the design of enhancements or exploring the development of fresh methodologies and approaches.
• Collaborate cross-functionally - gaining broad perspective into drivers of business results and offer data-driven recommendations across the company.

Requirements

• Bachelor’s Degree in Actuarial science, Mathematics/Statistics, Economics, or related
  field.
• 3+ years of experience in insurance pricing, preferably with experience in personal lines insurance pricing.
• Progress made towards ACAS/FCAS designations (preferably 5+ exams).
• Experience working in SQL.
• Demonstrated aptitude for working in Python.
• Ability to operate in ambiguity – identifying/defining complex business problems and developing creative analytical solutions.
• Strong communication and collaboration skills.
• Strong decision-making skills.
• Homeowners insurance experience is a plus.

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