About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Accounting & Finance.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Responsibilities

The Actuarial Analyst delivers decision‑support analytics to help clients understand and improve their risk profile. This entry‑level role produces loss projections, mod analysis, claims analytics, collateral projections, and program comparisons that inform coverage, retention, and renewal decisions. Work with senior colleagues and Advisors to translate claims and financial data into clear, actionable recommendations.

• Prepare loss projections, mod analysis, claims analytics, collateral projections, and financial impact analyses, including monthly client claim analytics that identify key performance trends and KPIs.
• Produce analytical support for client decision-making: program comparisons, structure evaluations, and negotiation support.
• Assist in data analysis to evaluate optimal program structures and options.
• Build and update client-facing dashboards, spreadsheets, charts, and presentations that clearly tell the analytic story.
• Participate in client and prospect meetings and take ownership of assigned follow-up items.
• Support Catastrophe Modeling analysis under senior guidance.
• Maintain a client service calendar to track deliverables and commitments.
• Summarize claims reviews and analytic findings for Advisors, senior colleagues, and clients.
• Respond to ad hoc analytic requests as needed.
• Participate in firm training programs; develop technical proficiency in R, SQL, Python, and data-visualization tools.

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Qualifications

• Bachelor’s degree required (Actuarial Science, Mathematics, Statistics, Accounting, Finance, Analytics, or related field). Substantial relevant work experience may be considered in lieu of a degree.
• 0–2 years relevant experience preferred but not required — ideal for entry-level candidates.
• At least one actuarial exam (SOA or CAS) completed; progress toward a second is preferred.
• Excellent written and verbal communication skills; ability to present technical results clearly to non‑technical audiences.
• Strong organizational, multitasking, and time-management skills.
• Professional demeanor and a strong customer-service orientation.

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Skills & Tools

• Proficient in Microsoft Office: Excel (advanced/spreadsheet modeling), PowerPoint, Word. Familiarity with Power BI preferred.
• Experience or familiarity with R, SQL, Python, Tableau, or similar data tools is preferred.
• Comfortable building dashboards, charts, and interactive visualizations.
• Analytical mindset with attention to detail and the ability to identify trends in claims and financial data.

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What You’ll Gain

• Hands-on actuarial and analytics experience across loss projections, claims analytics, and program structure analysis.
• Mentorship and training to progress actuarial exam track and technical skills (R, SQL, Python, visualization).
• Exposure to client‑facing consulting and opportunity to grow into advisory roles.
• Work within a collaborative team supporting multiple client engagements in Accounting & Finance.

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IMPORTANT NOTICE: This position description is intended to describe the level of work required of the person performing in the role and is not a contract. The essential responsibilities are outlined; other duties may be assigned as needs arise or as required to support the organization. All requirements may be subject to reasonable accommodation to applicants and colleagues who need them for medical or religious reasons.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.