Pricing Actuary

As a Pricing Actuary at At-Bay, your main responsibilities include developing pricing models for new professional liability products, performing competitive analyses, and collaborating with various teams to implement these models effectively. You will operate hands-on, overseeing risk assessments and contributing to data-driven decision-making processes to drive profitable growth.

To qualify for the Pricing Actuary role at At-Bay, candidates should hold an ACAS, FCAS, or equivalent actuarial designation. Additionally, experience in analyzing professional lines products such as MPL, proficiency in Excel and SQL, and familiarity with programming languages like Python or R are highly valued. Strong analytical and communication skills are also essential.

The Pricing Actuary plays a crucial role in ensuring At-Bay's profitability by developing competitive pricing structures and models that accurately reflect risk while enticing potential clients. By analyzing product performance and guiding underwriting changes, the actuary helps maintain and enhance the company's profit margins.

In the Pricing Actuary role at At-Bay, you can expect a vibrant team dynamic filled with passionate professionals who collaborate across various functions. You will work closely with tech, underwriting, claims, and analytics teams, all while fostering an environment of innovation and continuous improvement.

At-Bay is committed to the professional growth of its employees, especially Pricing Actuaries. There are opportunities for mentorship, skill enhancement through on-the-job projects, and the chance to lead cross-functional initiatives that directly impact the business. Additionally, you’ll have access to resources that can further your actuarial expertise.

In answering this question, discuss a specific pricing project you managed, highlighting your role, the challenges you faced, and the outcomes. Focus on how your analytical skills and decision-making contributed to the project’s success.

Emphasize your proficiency in tools like Excel and SQL and how you have utilized programming languages such as Python or R for data analysis. Provide examples of how these tools have helped you develop pricing models or analyze data.

When addressing this question, outline your methodology for conducting competitive analysis, specifying the data you collect, how you interpret it, and how it informs your pricing strategies. Real-life examples can make your response more impactful.

Discuss your process for validating data, running sensitivity analyses, and collaborating with cross-disciplinary teams to review your models. Highlight how these practices maintain accuracy and credibility in your pricing decisions.

Explain your conflict resolution strategies, emphasizing your commitment to data-driven discussions. Share examples of previous disagreements and how you navigated through them by focusing on data and stakeholder input.

Identify relevant metrics such as loss ratios, retention rates, and profitability per policy. Describe how you analyze these metrics to inform your pricing strategies and adjustments needed over time.

Reflect on industry trends that impact pricing, such as increased competition or changing regulations. Talk about the need for innovative solutions and how you stay updated with industry practices to address these challenges.

Use this opportunity to showcase your communication skills. Provide a specific example where you simplified complex data for stakeholders, focusing on the approaches you used to enhance understanding and engagement.

Outline the key stages, from research and data collection to model implementation and performance evaluation. Discuss the collaborative aspects as well, showcasing how you engage with various teams throughout the process.

Discuss your time management strategies, emphasizing techniques like setting clear deadlines, delegating tasks, or using project management tools. Provide examples of how you've effectively juggled multiple responsibilities in past roles.