Remote Actuarial Analyst — AI-Pricing & Reserves

Remote Jobs; United States; Remote; USD 133,000 - 165,000; Full time

Job summary

Mercor is seeking Insurance Actuarial Specialists for a remote, contract role. The position involves modeling ratemaking, reserves, valuation, and profitability analyses, with responsibilities to create pricing models and actuarial memos, and to provide clear, defensible conclusions.

Ideal candidates have 2+ years of actuarial experience, strong quantitative skills, and the ability to explain methods and assumptions. Proficiency in R, Python, SAS, SQL, and actuarial software is preferred.

Qualifications

• 2+ years of professional actuarial experience (any practice area).
• Understand how methods, assumptions, and data drive pricing, reserves, and valuation.
• Ability to select an appropriate method, run the analysis, and articulate a defensible conclusion with a documented rationale.

Responsibilities

• Design realistic scenarios involving ratemaking, loss reserving, valuation, experience studies, assumption-setting, and profitability analysis.
• Create work products such as pricing models, reserve reviews, actuarial memoranda, technical assumptions, and results summaries.
• Write "golden" reference responses at experienced actuarial-professional quality.
• Grade AI-generated responses against structured rubrics for methodological soundness, calculation accuracy, assumption justification, and clear communication.
• Identify flawed methods, calculation errors, unsupported assumptions, and gaps in documented rationale.
• Provide written feedback the research team uses to improve model behavior.

Skills

Actuarial analysis

Quantitative analysis

Communication of conclusions

Attention to detail

Method selection

Education

ASA, FSA, ACAS, FCAS, CERA or comparable credential

Tools

R

Python

SAS

SQL

Prophet

Emblem

Radar

ResQ

Job description

Mercor is seeking Insurance Actuarial Specialists for a remote, contract role. The position involves modeling ratemaking, reserves, valuation, and profitability analyses, with responsibilities to create pricing models and actuarial memos, and to provide clear, defensible conclusions.

Ideal candidates have 2+ years of actuarial experience, strong quantitative skills, and the ability to explain methods and assumptions. Proficiency in R, Python, SAS, SQL, and actuarial software is preferred.