Actuarial Specialist for AI-Driven Pricing & Risk

Mercor; Charlotte (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We seek Insurance Actuarial Specialists to design pricing, reserving, and risk-modeling scenarios and to assess outputs against actuarial standards.

You’ll contribute by developing pricing models, reserve reviews, and memoranda, and by providing feedback to improve model behavior. 2+ years of actuarial experience and proficiency with R, Python, SAS, SQL or equivalent actuarial software

Qualifications

• 2+ years of professional actuarial experience in any practice area.
• Ability to model pricing, reserves, and valuation scenarios with transparent 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 experience

Quantitative analysis

Attention to detail

Education

ASA, FSA, ACAS, FCAS, CERA, MAAA or exams

Tools

R

Python

SAS

SQL

Prophet

Emblem

Radar

ResQ

Job description

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We seek Insurance Actuarial Specialists to design pricing, reserving, and risk-modeling scenarios and to assess outputs against actuarial standards.

You’ll contribute by developing pricing models, reserve reviews, and memoranda, and by providing feedback to improve model behavior. 2+ years of actuarial experience and proficiency with R, Python, SAS, SQL or equivalent actuarial software