Risk & Actuarial AI Expert
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 17h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 147d ago
The date the source published, not the day we noticed it (2026-04-21). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States, United Kingdom, Canada, France, Portugal
The description agrees: it names United States, United Kingdom, Canada, France, Portugal.
What the ad says
…Location: US, UK, Canada, France, Portugal (remote) We are seeking a h…
Pay
$100–120/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen just now
The listing
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.