Actuarial Intern – $100/hr Max
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: P&C Actuary
Type: Contract Compensation: $60–$100/hour Location: Remote Duration: ~6 weeks Commitment: 30+ hours/week Role Responsibilities
- Build and analyze loss development triangles for paid and incurred data.
- Calculate, compare, and select age-to-age and cumulative development factors.
- Estimate ultimate losses and IBNR reserves using factor-based projections.
- Perform rate indication calculations including trending and premium on-leveling.
- Select frequency and severity trends with supporting documentation.
- Conduct large loss load analyses using capping and truncation techniques.
- Prepare reserve exhibits and filing-ready workpapers in Excel and PDF formats.
Qualifications Must-Have
- 5+ years of experience in property and casualty actuarial roles.
- Familiarity with Workers Compensation, Auto, Umbrella, or General Liability lines.
- Proficiency with Arius, ResQ, R ChainLadder, or similar reserving tools.
- Strong skills in Excel, with experience auditing and constructing complex models.
- Solid understanding of insurance data sources such as Guidewire or Duck Creek.
- Excellent documentation and communication skills, especially in technical contexts.
Compensation & Legal
- Independent contractor arrangement
- Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
- Submit your resume followed by domain expertise interview and short form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
Actuarial Intern – $100/hr Max
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: P&C Actuary
Type: Contract Compensation: $60–$100/hour Location: Remote Duration: ~6 weeks Commitment: 30+ hours/week Role Responsibilities
- Build and analyze loss development triangles for paid and incurred data.
- Calculate, compare, and select age-to-age and cumulative development factors.
- Estimate ultimate losses and IBNR reserves using factor-based projections.
- Perform rate indication calculations including trending and premium on-leveling.
- Select frequency and severity trends with supporting documentation.
- Conduct large loss load analyses using capping and truncation techniques.
- Prepare reserve exhibits and filing-ready workpapers in Excel and PDF formats.
Qualifications Must-Have
- 5+ years of experience in property and casualty actuarial roles.
- Familiarity with Workers Compensation, Auto, Umbrella, or General Liability lines.
- Proficiency with Arius, ResQ, R ChainLadder, or similar reserving tools.
- Strong skills in Excel, with experience auditing and constructing complex models.
- Solid understanding of insurance data sources such as Guidewire or Duck Creek.
- Excellent documentation and communication skills, especially in technical contexts.
Compensation & Legal
- Independent contractor arrangement
- Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
- Submit your resume followed by domain expertise interview and short form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,