Insurance Actuarial Specialist - Expert

Mercor; Mumbai; On-site; INR 900,000 - 1,500,000; Part time

Job summary

Mercor partners with a leading AI lab to train frontier models on high-quality insurance reasoning data. We are hiring Insurance Actuarial Specialists to design pricing, reserving, and risk-modeling scenarios, evaluate model outputs against standards, and shape how AI reasons about probability and financial risk.

Actuarial specialists across life, health, P&C, pensions, and enterprise risk are welcome, with minimum 2+ years of experience and credentials such as ASA/FSA/ACAS/FCAS/CERA or

Qualifications

• 2+ years of professional actuarial experience across practice areas.
• Ability to explain methods, assumptions, and data driving pricing, reserves, and valuation.
• Able to run analysis and present a justified conclusions with documented rationale.
• Strong quantitative analysis, balanced judgment, and attention to detail.

Responsibilities

• Design realistic scenarios involving ratemaking, loss reserving, valuation, experience studies, assumption-setting, and profitability analysis.
• Create pricing models, reserve reviews, actuarial memoranda, technical assumptions, and results summaries.
• Write high-quality reference responses at experienced actuarial-professional level.
• Grade AI-generated responses against rubrics for soundness, calculation accuracy, justification, and communication.
• Identify flawed methods, calculation errors, unsupported assumptions, and gaps in reasoning.
• Provide written feedback to improve model behavior.

Skills

Actuarial analysis

Education

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

Tools

R

Python

SAS

SQL

Prophet

Emblem

Radar

ResQ

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 Insurance Actuarial Specialists to design realistic pricing, reserving, and risk-modeling scenarios, evaluate model outputs against established actuarial standards, and help shape how the next generation of AI reasons about probability, loss estimation, and financial risk.

We welcome actuaries across all practice areas, including life, health, property & casualty, pensions/retirement, and enterprise risk — from insurers, reinsurers, consultancies, and corporate actuarial teams.

What You’ll Do

• 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

  You're a Good Fit If You

  • Have 2+ years of professional actuarial experience (any practice area)
  • Understand how methods, assumptions, and data drive pricing, reserves, and valuation
  • Can select an appropriate method, run the analysis, and articulate a defensible conclusion with a documented rationale
  • Demonstrate excellent quantitative analysis, balanced judgment, and high attention to detail
  • Can distinguish actuarial analysis from underwriting decisions and from formal financial or legal advice

  Bonus Qualifications

  • ASA, FSA, ACAS, FCAS, CERA, MAAA, or comparable credential (or actively passing exams)
  • Experience across multiple practice areas or specialty lines
  • Reinsurance, capital modeling, or enterprise risk experience
  • Proficiency with R, Python, SAS, SQL, or actuarial software (Prophet, Emblem, Radar, ResQ)
  • Experience with regulatory filings, rate filings, or statements of actuarial opinion

  Role Highlights

  • Minimum 20 hours per week (ideally 40+)
  • Role starts immediately, applications reviewed on a rolling basis