Actuarial Analyst
Posted 3 days ago by Mercor
Negotiable
Inside
Remote
United Kingdom
Summary: Mercor is seeking experienced insurance professionals, including actuaries and underwriters, to contribute to AI-driven projects aimed at enhancing insurance workflows. The role focuses on evaluating AI outputs in various insurance domains and providing structured feedback to improve accuracy and regulatory compliance. Candidates will work remotely on a part-time basis, with flexible hours, and are expected to have a strong background in actuarial science or related fields. This position offers competitive hourly compensation based on experience.
Key Responsibilities:
- Review and validate AI-generated outputs in pricing, reserving, underwriting, and risk modeling
- Evaluate actuarial projections (mortality, morbidity, loss development) for accuracy and regulatory alignment
- Provide structured feedback on assumptions, clarity, and methodology consistency
- Stress-test AI outputs across claims scenarios, reserve adequacy, and solvency models
- Tag and organize content by insurance domain (life, health, property & casualty, reinsurance)
- Support benchmarking to assess AI capabilities in actuarial science and insurance operations
Key Skills:
- 2+ years of experience in actuarial practice, insurance analytics, underwriting, or risk modeling
- Degree in Actuarial Science, Mathematics, Statistics, Risk Management, or related field; ASA, ACAS, or equivalent preferred
- Familiarity with actuarial software/tools (Prophet, AXIS, R, Python) and insurance-specific methodologies
- Strong analytical, communication, and technical writing skills
Salary (Rate): £55.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Mercor is hiring experienced Insurance professionals to support high-impact projects with leading AI labs and research organizations. We welcome actuaries, underwriters, claims analysts, risk modelers, and general insurance professionals. This role involves contributing to the evaluation and refinement of advanced AI systems designed to replicate real-world workflows across insurance models, policy pricing, risk assessment, and claims operations.
Key Responsibilities
- Review and validate AI-generated outputs in pricing, reserving, underwriting, and risk modeling
- Evaluate actuarial projections (mortality, morbidity, loss development) for accuracy and regulatory alignment
- Provide structured feedback on assumptions, clarity, and methodology consistency
- Stress-test AI outputs across claims scenarios, reserve adequacy, and solvency models
- Tag and organize content by insurance domain (life, health, property & casualty, reinsurance)
- Support benchmarking to assess AI capabilities in actuarial science and insurance operations
Ideal Qualifications
- 2+ years of experience in actuarial practice, insurance analytics, underwriting, or risk modeling
- Degree in Actuarial Science, Mathematics, Statistics, Risk Management, or related field; ASA, ACAS, or equivalent preferred
- Familiarity with actuarial software/tools (Prophet, AXIS, R, Python) and insurance-specific methodologies
- Strong analytical, communication, and technical writing skills
Location: US, UK, CA, AUS, NZ preferred
Project Timeline
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)
- Schedule: Fully remote and asynchronous – flexible working hours
Compensation & Contract
- Competitive hourly rate based on experience ($55–$100 USD/hr)
- Independent contractor
- Daily payment via Stripe Connect
Application & Onboarding Process
- Upload your resume
- AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
- If selected, next steps and onboarding details will follow within a few days
About Mercor
Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across finance, insurance, engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your insurance and actuarial expertise to help build the future of AI-driven risk and insurance workflows! We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.