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Part Time Actuarial Analyst Ii Jobs (NOW HIRING)

Weekday AI

Risk & Actuarial AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... equivalent) preferred * 2-8 years of experience in actuarial analysis, risk management, or ...

Cigna

Actuarial Internship - Summer 2027

Bloomfield, CT · On-site

... analytics. * Minimum 3.2 GPA. * Uses data to solve real-world problems, think through trade-offs ... Actuarial Exam Support : Paid study materials provided for an upcoming actuarial exam. * Pre ...

Cigna

Actuarial Internship - Summer 2027

Austin, TX · On-site +1

... or data analytics. * Minimum 3.2 GPA. * Uses data to solve realworld problems, think through ... Actuarial Exam Support : Paid study materials provided for an upcoming actuarial exam.

Cigna

Actuarial Internship - Summer 2027

Denver, CO · On-site +1

... or data analytics. * Minimum 3.2 GPA. * Uses data to solve realworld problems, think through ... Actuarial Exam Support : Paid study materials provided for an upcoming actuarial exam.

Milliman

Actuarial Intern - EB Consulting

Dallas, TX · On-site

... a Part-time summer 2027 internship. The internship is a 10-week program, starting June 1st and ... Performing data analysis using Excel, ProVal, and proprietary Milliman programs to assist with ...

Milliman

Actuarial Intern - EB Consulting

Seattle, WA · On-site

... a Part-time summer 2027 internship. The internship is a 10-week program, starting June 1st and ... Performing data analysis using Excel, ProVal, and proprietary Milliman programs to assist with ...

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$22K

$93.5K

$154K

How much do part time actuarial analyst ii jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time actuarial analyst ii in the United States is $93,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $109,500.00 per year, depending on experience, location, and employer.

What is a part time actuarial analyst ii?

A Part Time Actuarial Analyst II is a mid-level actuarial professional who typically works less than full-time hours, assisting in the analysis of statistical data to help organizations assess risk and set financial strategies. This role often includes tasks such as preparing reports, building financial models, and supporting senior actuaries in insurance, finance, or pension industries. The 'II' designation suggests a higher level of experience or responsibility than entry-level positions, but it is still considered an intermediate role. Part-time arrangements offer flexibility while still allowing for meaningful contributions to actuarial projects.

What are the key skills and qualifications needed to thrive as a part time actuarial analyst ii?

To thrive as a Part Time Actuarial Analyst II, you need strong analytical and mathematical abilities, typically supported by progress towards actuarial exams and a bachelor's degree in mathematics, statistics, or a related field. Familiarity with actuarial modeling software, Excel, and data analysis tools such as SQL or SAS is essential. Attention to detail, effective communication, and problem-solving skills help you interpret data and present findings clearly to stakeholders. These skills ensure accurate risk assessments, support sound business decisions, and contribute to effective teamwork within actuarial departments.

How does the part-time nature of the actuarial analyst ii role impact collaboration with full-time team members?

As a part-time Actuarial Analyst II, you will often collaborate with full-time actuaries, underwriters, and data professionals on ongoing projects. While your hours may be more flexible, effective communication is key to staying aligned with project timelines and deliverables. Teams typically use shared digital workspaces and regular check-ins to ensure everyone is up-to-date. Being proactive about your availability and progress helps maintain smooth workflow and ensures your contributions are integrated seamlessly with those of the full-time staff.

What cities are hiring for Part Time Actuarial Analyst Ii jobs?

Cities with the most Part Time Actuarial Analyst Ii job openings:

What are the most commonly searched types of Actuarial Analyst Ii jobs?

The most popular types of Actuarial Analyst Ii jobs are:

What states have the most Part Time Actuarial Analyst Ii jobs?

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Part Time Actuarial Analyst Ii jobs near you
Infographic showing various Part Time Actuarial Analyst Ii job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.

Risk & Actuarial AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Re-posted 3 days ago

Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a highly analytical and forward-thinking Risk & Actuarial AI Expert to join our growing team. This role sits at the intersection of actuarial science, risk management, and advanced analytics, leveraging artificial intelligence to enhance decision-making across insurance and risk portfolios. The ideal candidate will bring a strong foundation in actuarial principles combined with hands-on experience in data science, enabling the transformation of complex risk data into actionable insights.
Requirements
Key Responsibilities:
You will play a central role in evaluating and optimizing portfolio performance through detailed loss ratio and combined ratio analysis. This includes monitoring trends, identifying deviations, and providing recommendations to improve underwriting profitability. A deep understanding of claims behavior, pricing adequacy, and expense structures will be critical to success in this area.
In addition, you will conduct comprehensive portfolio risk assessments, using statistical models and AI-driven techniques to evaluate exposure across various lines of business. This involves identifying risk concentrations, assessing diversification, and supporting strategic decisions related to risk selection and capital allocation. You will collaborate closely with underwriting, finance, and product teams to ensure alignment between risk appetite and business objectives.
A significant part of the role will focus on catastrophe modeling and exposure management. You will work with catastrophe models and geospatial data to assess potential losses from natural disasters and extreme events. Enhancing traditional modeling approaches using machine learning techniques to improve prediction accuracy and scenario analysis will be a key expectation. You will also contribute to stress testing, scenario planning, and regulatory reporting requirements.
AI & Analytics Integration:
The role requires leveraging modern AI/ML techniques to automate actuarial workflows, improve predictive modeling, and uncover hidden patterns in large datasets. You will design and implement models that enhance pricing, reserving, and risk selection processes. Experience with tools such as Python, R, and cloud-based analytics platforms will be valuable.
Qualifications & Skills:
  • Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related field
  • Progress toward actuarial certification (e.g., IFoA, SOA, or equivalent) preferred
  • 2-8 years of experience in actuarial analysis, risk management, or insurance analytics
  • Strong expertise in loss ratio and combined ratio analysis
  • Proven experience in portfolio risk assessment and risk modeling
  • Hands-on experience with catastrophe modeling tools and exposure management frameworks
  • Proficiency in programming (Python/R) and data visualization tools
  • Familiarity with machine learning techniques and their application in insurance
  • Strong problem-solving skills and ability to communicate complex insights to non-technical stakeholders

What We're Looking For:
We value individuals who combine technical rigor with business intuition. You should be comfortable working in a dynamic environment, handling ambiguity, and driving innovation through data. A proactive mindset, attention to detail, and the ability to translate analytical findings into strategic recommendations will set you apart in this role.

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