Insurance Expert

Mercor; Deutschland; Remote; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading insurance consultancy is hiring experienced insurance professionals to contribute to modern AI initiatives. This role involves evaluating AI outputs in pricing, reserving, and underwriting. Ideal candidates should have 2+ years of experience in actuarial practice and a degree in a related field. The position is part-time, fully remote, and offers a competitive hourly rate based on experience.

Qualifikationen

• 2+ years of experience in relevant fields.
• Familiarity with actuarial software/tools and methodologies.
• Strong analytical, communication, and technical writing skills.

Aufgaben

• Review and validate AI-generated outputs in pricing and underwriting.
• Evaluate actuarial projections for accuracy.
• Provide structured feedback on assumptions and methodology consistency.
• Stress-test AI outputs across claims scenarios.

Kenntnisse

Actuarial practice

Insurance analytics

Underwriting

Risk modeling

Analytical skills

Communication skills

Technical writing

Ausbildung

Degree in Actuarial Science

ASA or ACAS certification

Tools

Prophet

AXIS

R

Python

Jobbeschreibung

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.