Actuarial Consultant

Jobtailor; Illinois; On-site; USD 70,000 - 95,000; Full time

Job summary

Jobtailor seeks an actuary with strong analytical and problem-solving skills to support complex insurance challenges and drive actuarial modernization. You will analyze datasets, apply actuarial methodologies, and collaborate with engineers, data scientists, and stakeholders to translate insights into actionable recommendations.

The role emphasizes client engagement, practical insights, and crossing functional teams to validate assumptions and deliver high-quality analyses for strategic

Qualifications

• BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field.
• 1+ years of actuarial experience
• Commitment to pursuing CAS actuarial credentials
• Minimum of 3 passed actuarial exams
• Exceptional verbal and written communication skills
• Strong problem-solving capabilities and intellectual curiosity
• Advanced Excel for data analysis and reporting
• Ability to prioritize, manage multiple tasks, and meet project objectives and deadlines
• Experience utilizing AI technologies for modeling and analytics
• Knowledge of programming languages; Python, R, and SQL are a plus

Responsibilities

• Support client engagements by applying actuarial knowledge and structured problem-solving to complex insurance challenges
• Contribute to actuarial modernization, process automation, AI-enabled actuarial workflows, model transformation, data modernization, and operating model improvement
• Analyze large and complex datasets, identify trends, validate results, and develop insights for actuarial, operational, and strategic decision-making
• Apply actuarial methodologies, assumptions, and models to produce accurate analyses
• Identify issues, investigate results, and recommend potential solutions
• Gather requirements, understand business challenges, and communicate analytical findings to clients and internal stakeholders
• Translate complex actuarial concepts and results into practical insights
• Collaborate with actuaries, engineers, data scientists, and specialists to translate requirements into technical specifications, test solutions, validate outputs, and support implementation
• Validate data, assumptions, calculations, models, and outputs for quality and accuracy
• Develop and enhance tools, methodologies, automation, and AI-enabled solutions
• Own assigned deliverables, manage priorities and deadlines, and build technical, consulting, and industry knowledge

Skills

Problem-Solving

Intellectual Curiosity

Verbal Communication

Written Communication

Prioritization

Education

BA/BS in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related field

Tools

Python

R

SQL

Process Automation

Model Transformation

Job description

• Support client engagements by applying actuarial knowledge, analytical skills, and structured problem-solving to complex insurance challenges
• Contribute to actuarial modernization, process automation, AI-enabled actuarial workflows, model transformation, data modernization, and operating model improvement
• Analyze large and complex datasets, identify trends, validate results, and develop insights for actuarial, operational, and strategic decision-making
• Apply actuarial methodologies, assumptions, and models to produce accurate analyses
• Identify issues, investigate results, and recommend potential solutions
• Gather requirements, understand business challenges, and communicate analytical findings to clients and internal stakeholders
• Translate complex actuarial concepts and results into practical insights
• Collaborate with actuaries, engineers, data scientists, and specialists to translate requirements into technical specifications, test solutions, validate outputs, and support implementation
• Validate data, assumptions, calculations, models, and outputs for quality and accuracy
• Develop and enhance tools, methodologies, automation, and AI-enabled solutions
• Own assigned deliverables, manage priorities and deadlines, and build technical, consulting, and industry knowledge

Requirements

• BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field
• 1+ years of actuarial experience
• Commitment to pursuing CAS actuarial credentials
• Minimum of 3 passed actuarial exams
• Exceptional verbal and written communication skills
• Strong problem-solving capabilities and intellectual curiosity
• Advanced Excel for data analysis and reporting
• Ability to prioritize, manage multiple tasks, and meet project objectives and deadlines
• Experience utilizing AI technologies for modeling and analytics
• Knowledge of programming languages; Python, R, and SQL are a plus

Core Competencies

Demonstrates expertise in actuarial methodologies, data analysis, and AI-enabled solutions to address complex insurance challenges. Proficient in translating actuarial concepts into actionable insights while managing deliverables and collaborating with cross-functional teams.

Highest-signal resume keywords

• Actuarial Methodologies
• Data Analysis
• AI Technologies for Modeling
• Advanced Excel
• Communication Skills

Hard Skills

• Actuarial Science
• Mathematics
• Statistics
• Economics
• Finance
• Python
• R
• SQL
• Process Automation
• Model Transformation

Soft Skills

• Problem-Solving
• Intellectual Curiosity
• Verbal Communication
• Written Communication
• Prioritization

Certifications & Qualifications

• CAS Actuarial Credentials
• Passed Actuarial Exams

Industry Keywords

• Insurance Challenges
• Data Modernization
• Operational Decision-Making
• Analytical Findings
• Technical Specifications