DW Simpson - Chicago, IL

posted 2 months ago

Full-time - Mid Level
Remote - Chicago, IL
Personal and Laundry Services

About the position

The Senior Actuarial Analyst - Pricing position at DW Simpson is a pivotal role within a well-established Property and Casualty (P&C) insurance company. The successful candidate will be responsible for developing pricing and rating tools for both new and existing programs, which is essential for maintaining the company's competitive edge in the market. This role requires a strong analytical mindset and the ability to produce portfolio management analytics that will inform strategic decisions. The Senior Actuarial Analyst will also be tasked with maintaining relationships with key stakeholders, ensuring that their needs are met and that the actuarial insights provided are actionable and relevant. In this position, the ideal candidate will leverage their experience in commercial lines and profitability analyses to drive the pricing strategies of the company. Proficiency in data visualization and modeling tools is crucial, as these skills will be used to present complex data in an understandable format to stakeholders. Additionally, experience with catastrophe modeling and predictive analytics will be highly regarded, as these areas are increasingly important in the actuarial field. The role offers the opportunity to work in a dynamic environment where analytical skills can directly impact the company's success.

Responsibilities

  • Develop pricing and rating tools for new and existing programs.
  • Produce portfolio management analytics to support strategic decision-making.
  • Maintain relationships with key stakeholders to ensure their needs are met.
  • Conduct profitability analyses for commercial lines.
  • Utilize data visualization and modeling tools to present findings effectively.
  • Engage in catastrophe modeling and predictive analytics as needed.

Requirements

  • At least 3 years of experience in actuarial roles, preferably in the P&C insurance sector.
  • Actuarial student or ACAS designation is required.
  • Experience in commercial lines and profitability analyses is essential.
  • Proficiency with data visualization and modeling tools is necessary.
  • Familiarity with catastrophe modeling and predictive analytics is a plus.

Nice-to-haves

  • Experience with advanced statistical software and programming languages.
  • Knowledge of regulatory requirements in the insurance industry.
  • Strong communication skills for stakeholder engagement.
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