Design insurance pricing, reserving, forecasting, and portfolio-risk scenarios for AI model training. Create actuarial analyses and reference answers, evaluate AI outputs for quantitative and methodological accuracy, identify unsupported assumptions and errors, and provide structured feedback. The role requires explaining actuarial methods and business implications to technical and nontechnical audiences while participating in calibration and onboarding sessions.
This role is for one of our clients
Compensation: $80 per hour
We are partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring P&C Actuaries and Portfolio Risk Managers to design realistic pricing, reserving, forecasting, and portfolio-management scenarios, evaluate model outputs against established actuarial standards, and help shape how the next generation of AI reasons quantitatively about insurance risk.
We welcome pricing actuaries, reserving actuaries, portfolio analysts, catastrophe-risk professionals, and actuarial managers from carriers, reinsurers, MGAs, and consulting firms.
Requirements
What You'll Do
- Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration
- Create work products such as pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations
- Write "golden" reference responses at experienced actuarial and portfolio-risk quality
- Grade AI-generated responses against structured rubrics for mathematical accuracy, assumption quality, methodology, interpretation, and communication
- Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusing correlation with causation, and recommendations not supported by the data
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions
You're a Good Fit If You
- Have 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management
- Have performed quantitative analysis using insurance premium, exposure, claim, loss, or reserve data
- Understand the difference between account-level underwriting judgment and portfolio-level actuarial analysis
- Can explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences
- Demonstrate strong quantitative reasoning, excellent written communication, and high attention to detail
- Are proficient with spreadsheets and at least one analytical or statistical tool
Bonus Qualifications
- ACAS, FCAS, or active progress toward CAS credentials
- Experience with personal, commercial, specialty, or reinsurance portfolios
- Catastrophe modeling, capital modeling, predictive modeling, or rate-filing experience
- Proficiency with SQL, R, Python, SAS, or actuarial modeling platforms
- Experience presenting results to underwriting, finance, claims, or executive stakeholders
Role Highlights
- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Leads Samsara’s globally distributed Core Infrastructure team, owning strategy and roadmaps across compute, networking, storage, cloud systems, reliability, and operational efficiency. Responsibilities include developing engineers, improving capacity management and observability, strengthening incident response and disaster recovery, building automation and self-service infrastructure, and applying AI-enabled tools to reduce toil. The role requires significant software engineering and people-management experience, strong technical judgment, and expertise in large-scale cloud or distributed platforms.
Top Skills:
Ai-Enabled Engineering ToolsCloud PlatformsContainer OrchestrationDeclarative InfrastructureDistributed SystemsObservability
Artificial Intelligence • Software
Own the full sales cycle for net-new SMB accounts in Canada, from prospecting through negotiation and close. Build relationships with CPA, audit, advisory, and assurance firms; conduct discovery; present Fieldguide’s AI audit platform; develop territory and account plans; apply MEDDICC; maintain CRM accuracy and forecasts; collaborate cross-functionally; and attend networking events. The role requires achieving sales targets and involves up to 30% regional and national travel.
Top Skills:
AICRM
Artificial Intelligence • Productivity • Software • Automation
Own marketing FP&A, including headcount planning, budgeting, actuals tracking, channel allocation, ROI reporting, purchase orders, and vendor commitments. Partner with marketing, sales, RevOps, data, and corporate finance to connect marketing spend with pipeline and revenue outcomes. Lead pipeline forecasting, reporting definitions, risk identification, and AI-enabled automation of finance processes and forecasting cycles.
Top Skills:
Ai ToolsDatabricksGoogle SheetsHubspotNetSuiteSnowflakeZip
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
