Senior Actuarial Analyst

This post contains product affiliate links. We may receive a commission from Amazon if you make a purchase after clicking on one of these links. You will not incur any additional costs by clicking these links

Join Openly as a Senior Actuarial Analyst to guide strategic decisions through deep analysis and innovative tech in a dynamic environment.

Job Summary

Openly is actively recruiting a talented Senior Actuarial Analyst for their Research team. As an integral member of this group, the new hire will be responsible for influencing key strategic decisions by examining growth and profitability scenarios across the company's insurance product, reinsurance, and operational facets. The role involves enhancing existing models and analytical frameworks using the latest technology and data science methodologies, aiming to optimize the interpretation of an expanding dataset.

Team Collaboration and Support

The new Senior Actuarial Analyst will be part of the Actuarial & Product Analysis group within the Insurance Product Research team. This role benefits from a collaborative environment which includes support from data scientists and actuarial engineers. The ideal candidate is expected to be self-motivated and excel in a fast-paced, performance-focused workplace.

Technical Expertise

The candidate will work with technologies like GitHub, GCP/BigQuery, and Python—an understanding and working knowledge of these tools is assumed.

Core Responsibilities

  • Improving loss and premium forecasting by developing new methods and strategies to closely monitor actual results, providing novel insights that contribute to product enhancement and organizational success.
  • Working in tandem with Actuarial Engineering and Prediction Engineering teams to build advanced forecasting models. This involves using modern technologies and data-driven insights to establish a reliable forecasting system.
  • Enhancing actuarial analytics by participating in the design process of system improvements or the exploration of new methodologies.
  • Engaging in cross-functional collaboration to understand and influence business results with data-backed recommendations.

Job Requirements

Applicants should hold a Bachelor's degree in Actuarial Science, Mathematics/Statistics, Economics, or a related field, and have at least three years of experience in insurance pricing, preferably personal lines insurance pricing. Candidates should be underway in their ACAS/FCAS designations with a minimum of 5+ exams completed. The role requires proficiency in SQL and Python, a capacity to navigate ambiguous situations, strong problem-solving, communication, and decision-making skills. Experience with homeowners' insurance is considered an advantage.

The job offers an opportunity to be part of a talented team in a company that values innovation and employee contributions. As this is a senior role, Openly is looking for individuals prepared to take on complex challenges and eager to drive the company forward through analytical excellence.

This job offer was originally published on RemoteOK


At Smart Remote Jobs, we understand the importance of equipping remote workers with the tools they need to thrive in their roles. To enhance your remote work experience, we recommend considering an ergonomic keyboard that can significantly improve comfort during long hours of typing.

Then, you'd better block out distractions with noise-cancelling headphones, ensuring clear communication during virtual meetings and enhanced concentration.

Finally, if you want to increase flexibility and promote better posture, you should use an adjustable standing desk, allowing you to alternate between sitting and standing positions throughout the day for improved health and productivity.


Not specified

Data science


February 26, 2024


1 clicks on Apply Now

Similar job offers

This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.