Insurance Actuarial Specialist - Expert

Obsidian; Greater London; On-site; GBP 40,000 - 65,000; Part time

Job summary

Mercor partners with a leading AI lab to hire Insurance Actuarial Specialists who design pricing, reserving, and risk-modeling scenarios while assessing model outputs against actuarial standards. This role welcomes actuaries across life, health, property & casualty, pensions, and enterprise risk, with a focus on rigorous quantitative analysis, clear communication, and robust documentation.

Role highlights include flexible hours (minimum 20 per week), immediate start, and rolling review of

Qualifications

• 2+ years of professional actuarial experience in any practice area.
• Ability to design pricing, reserving, and risk-modeling scenarios.
• Experience writing actuarial memoranda and documenting rationale.

Responsibilities

• Design realistic ratemaking, loss reserving, valuation, and profitability analyses.
• Create pricing models, reserve reviews, and technical assumptions.
• Grade AI-generated responses against rubrics for methodological soundness and accuracy.
• Provide written feedback to improve model behavior.

Skills

Quantitative analysis

Attention to detail

Judgment

Communication of rationale

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