Actuarial Analyst II – AI and Data Transformation

Jobtailor

Jersey City (NJ)

On-site

USD 65,000 - 95,000

Full time

14 days+
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Job summary

Jobtailor in Jersey City seeks an entry to mid-level Actuarial Analyst to support the AI and data transformation roadmap for ISO loss costs. You will scope tasks, track progress, and help design actuarial workflows for AI-facing and customer-facing tools.

The role requires a bachelor’s in actuarial science or related field, 1–2 years P&C actuarial experience, and active ACAS pursuit. Proficiency in R, Python, SQL, and Excel is expected, with an interest in AI tools.

Qualifications

  • Bachelor's degree or higher in actuarial science, mathematics, statistics, or related field.
  • 1-2 years of Property & Casualty actuarial experience, preferably with pricing or underwriting exposure.
  • ACAS pursuit with at least 3 exams in progress.
  • Familiarity with actuarial software and tools such as R, Python, SQL, Excel.
  • ISO loss costs and ISO data products familiarity is a plus.
  • Interest or experience with generative AI tools and ability to discuss its on/off job use.
  • Comfort with ambiguity and non-standardized processes.
  • Eagerness to learn from complex datasets.
  • Strong interpersonal, oral, and written communication skills.
  • Ability to explain technical concepts clearly to teammates.

Responsibilities

  • Support the AI and data transformation roadmap for ISO loss costs and related data.
  • Scope tasks and track progress against deliverables.
  • Help design and build actuarial workflows and data logic for AI-facing and customer-facing tools.
  • Apply actuarial knowledge to ensure the intelligence behind AI tools is accurate and useful.
  • Assist in testing and validating new components and automation.
  • Identify where solutions add value versus refinement.
  • Collaborate with operational and technical teams to understand data assets and their connection to customer-facing infrastructure.
  • Take ownership of well-defined pieces of larger projects with support and mentorship.
  • Report directly to the initiative lead on the Actuarial Transformation team.

Skills

Actuarial Science
Data Analysis
Pricing Functions
Underwriting Functions
Data Logic Design
Workflow Development
Testing and Validation
Automation
ISO Loss Costs
Generative AI Tools
R Programming
SQL
Excel
Actuarial Software

Education

Bachelor's degree in actuarial science, mathematics, statistics, or a related major

Tools

R
Python
SQL
Excel
Actuarial Software

Job description

  • Support the AI and data transformation roadmap for ISO loss costs and related data.
  • Scope tasks and track progress against deliverables.
  • Help design and build actuarial workflows and data logic for AI-facing and customer-facing tools.
  • Apply actuarial knowledge to ensure the intelligence behind AI tools is accurate and useful.
  • Assist in testing and validating new components and automation.
  • Identify where solutions add value versus where they need refinement.
  • Collaborate with operational and technical teams to understand data assets and their connection to customer-facing infrastructure.
  • Take ownership of well-defined pieces of larger projects with support and mentorship.
  • Report directly to the initiative lead on the Actuarial Transformation team.
Requirements
  • Bachelor's degree in actuarial science, mathematics, statistics, or a related major.
  • 1-2 years of P&C actuarial experience, ideally with exposure to pricing or underwriting functions.
  • Actively pursuing ACAS, with at least 3 exams.
  • Familiarity with actuarial software and tools, such as R and/or Python, SQL, and Excel.
  • Familiarity with ISO loss costs and/or ISO data products is a plus.
  • Interest or experience in generative AI tools is a plus; candidates should be able to speak to how they've used AI on or off the job.
  • Comfort working with ambiguity and non-standardized processes.
  • Eagerness to learn from complex, diverse datasets.
  • Good interpersonal, oral, and written communication skills.
  • Ability to explain technical concepts clearly to teammates.
  • Willingness to work independently on well-scoped tasks while knowing when to ask for guidance.
Core Competencies

Demonstrates strong actuarial knowledge and data analysis skills, with a focus on AI tools and workflows. Proficient in actuarial software and tools, ensuring accurate and valuable insights for customer-facing applications.

Highest-signal resume keywords
  • Actuarial Science
  • P&C Actuarial Experience
  • ACAS Pursuit
  • R Programming
  • SQL
ATS Optimization Keywords
Hard Skills
  • Actuarial Science
  • Data Analysis
  • Pricing Functions
  • Underwriting Functions
  • Data Logic Design
  • Workflow Development
  • Testing and Validation
  • Automation
  • ISO Loss Costs
  • Generative AI Tools
Soft Skills
  • Interpersonal Skills
  • Communication Skills
  • Problem-Solving
  • Eagerness to Learn
  • Independence
Certifications & Qualifications
  • ACAS
Industry Keywords
  • ISO Data Products
  • Data Transformation
  • Actuarial Workflows
  • Customer-Facing Tools
  • Data Assets
Tools & Technologies
  • R
  • Python
  • SQL
  • Excel
  • Actuarial Software
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