Insurance Risk Analyst - Fully Remote

Mercor; Toronto; Remote; CAD 70,000 - 100,000; Full time

Job summary

Mercor partners with a leading AI lab to train frontier models on high-quality insurance reasoning data. We are hiring P&C actuaries and portfolio risk professionals to design pricing, reserving, forecasting, and portfolio-management scenarios, and to evaluate model outputs against actuarial standards.

Join a collaborative team shaping how AI reasons about insurance risk. Ideal candidates have 2+ years in P&C actuarial work, strong quantitative skills, and proficiency with spreadsheets and

Qualifications

• 2+ years of professional P&C actuarial experience (pricing, reserving, or portfolio risk).
• Ability to explain methods, assumptions, and business implications to technical and nontechnical audiences.
• Strong quantitative reasoning and attention to detail.

Responsibilities

• Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, reserving, profitability, capital, catastrophe exposure, and portfolio concentration.
• Create analyses such as pricing analyses, reserve reviews, portfolio diagnostics, and sensitivity analyses.
• Provide written feedback to improve model behavior and support onboarding.
• Grade AI-generated responses for mathematical accuracy, methodology, and communication.
• Identify errors and unsupported assumptions in model outputs.
• Participate in onboarding office hours and calibration sessions.

Skills

Actuarial analysis

Portfolio risk

Quantitative reasoning

Communication

Spreadsheet

SQL

Python

R

SAS

Tools

SQL

R

Python

SAS

Job description

About the Role

Mercor is 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.

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