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Actuarial Science Part Time 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 ... This role sits at the intersection of actuarial science, risk management, and advanced analytics ...

MTA Headquarters

Claims Manager, No Fault

Brooklyn, NY · On-site

$99K - $110K/yr

... FULL/PART-TIME FULL SALARY RANGE: $99,204 - $110,227 DEADLINE: Until filled This position is ... Associate's Degree (AA) with coursework in mathematics, statistics, accounting, actuarial science ...

Weekday AI

Insurance Claims Management AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Bachelor's or Master's degree in Computer Science, Data Science, Actuarial Science, Insurance, or a ...

Weekday AI

Insurance Underwriting AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Bachelor's or Master's degree in Insurance, Actuarial Science, Data Science, Statistics, or a ...

Weekday AI

Insurance Policy Administration AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... Bachelor's or Master's degree in Insurance, Actuarial Science, Computer Science, Data Science, or a ...

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Actuarial Science Part Time information

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$22K

$93.5K

$154K

How much do actuarial science part time jobs pay per year?

As of Jun 10, 2026, the average yearly pay for actuarial science part time 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 the difference between Actuarial Science Part Time vs Actuarial Analyst?

AspectActuarial Science Part TimeActuarial Analyst
CredentialsTypically pursuing actuarial exams, student statusOften holds or is working towards actuarial credentials
Work EnvironmentFlexible, often part-time or freelance rolesFull-time, office or remote insurance or finance firms
Industry UsageUsed for gaining experience, part-time study supportCore role in insurance, finance, or consulting firms

Actuarial Science Part Time roles are usually flexible positions for students or those studying for actuarial exams, focusing on gaining experience. Actuarial Analysts are full-time professionals with similar credentials, working in structured environments. The main difference lies in the commitment level and job structure, with part-time roles offering more flexibility for learners.

What are the key skills and qualifications needed to thrive as a part-time Actuarial Science professional, and why are they important?

To thrive in a part-time Actuarial Science role, you need strong analytical skills, a solid foundation in mathematics or statistics, and progress toward or completion of actuarial exams such as those from the SOA or CAS. Familiarity with actuarial software (e.g., Prophet, SAS, or Excel), data analysis tools, and programming languages like R or Python is typically required. Excellent problem-solving, time management, and communication skills set top candidates apart in collaborating with teams and explaining complex findings. These competencies ensure accurate risk analysis and effective contributions, even with limited working hours.

What types of projects and responsibilities can I expect as a part-time actuarial science professional?

As a part-time actuarial science professional, you may be involved in tasks such as data analysis, building and maintaining actuarial models, preparing reports, and assisting with risk assessments for insurance products or pension plans. You'll often work closely with full-time actuaries, analysts, and other team members, contributing to ongoing projects while managing your workload within reduced hours. Flexibility and strong communication skills are essential, as you may need to coordinate across teams and adapt to shifting priorities. Part-time roles can also provide exposure to a broad range of actuarial functions, which is valuable for professional growth.

What is actuarial science and what do part-time actuarial science jobs involve?

Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in insurance, finance, and other industries. Part-time actuarial science jobs typically involve assisting with data analysis, preparing reports, and supporting actuarial teams with calculations and research. These roles are ideal for students or professionals seeking flexible work hours while gaining experience in the actuarial field. Part-time positions may also include exam support and exposure to industry software, helping individuals advance their actuarial careers.
More about Actuarial Science Part Time jobs
What cities are hiring for Actuarial Science Part Time jobs? Cities with the most Actuarial Science Part Time job openings:
What are the most commonly searched types of Actuarial Science jobs? The most popular types of Actuarial Science jobs are:
What job categories do people searching Actuarial Science Part Time jobs look for? The top searched job categories for Actuarial Science Part Time jobs are:
Actuarial Science Part Time jobs near you
Infographic showing various Actuarial Science Part Time job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 61% Physical, 15% Hybrid, and 24% 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

Posted 20 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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