Part-Time P&C Actuary for AI Insurance Risk Modeling

Part-Time P&C Actuary for AI Insurance Risk Modeling

Part-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design pricing and forecasting scenarios while evaluating AI model outputs.
  • Company: Mercor, a leader in AI insurance risk modeling.
  • Benefits: Flexible part-time hours, competitive pay, and professional growth opportunities.
  • Other info: Collaborative environment with a focus on innovation and impact.
  • Why this job: Join a cutting-edge team and shape the future of insurance with AI.
  • Qualifications: 2+ years in P&C actuarial work and strong communication skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Mercor partners with a leading AI lab to train frontier models on high-quality insurance reasoning data.

We seek P&C actuaries and portfolio risk professionals to design pricing, reserving, forecasting, and portfolio-management scenarios while evaluating model outputs against actuarial standards.

Ideal candidates have 2+ years in P&C actuarial work, and can communicate complex methods clearly to technical and nontechnical audiences.

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Part-Time P&C Actuary for AI Insurance Risk Modeling employer: Mercor

Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.

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Contact Details:

Mercor Recruitment Team

We think you need these skills to ace Part-Time P&C Actuary for AI Insurance Risk Modeling

P&C Actuarial Skills
Pricing Design
Reserving Techniques
Forecasting Methods
Portfolio Management
Model Evaluation
Actuarial Standards Knowledge