Commercial Insurance Advisor & Risk Strategist

Commercial Insurance Advisor & Risk Strategist

Full-Time 31500 - 38500 Β£ / year (est.) No working from home possible
O

At a Glance

  • Tasks: Design client-advisory scenarios and evaluate AI model outputs in insurance.
  • Company: Join Mercor, a leader in AI-driven insurance solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Shape the future of insurance with cutting-edge AI technology.
  • Qualifications: Experience in commercial insurance and strong analytical skills.

The predicted salary is between 31500 - 38500 Β£ per year.

Mercor is collaborating with a leading AI lab to train frontier models on insurance reasoning data.

We seek Commercial Insurance Brokers and Risk Advisors to design client-advisory scenarios, evaluate model outputs against industry standards, and help shape how AI reasons about insurance purchasing and risk transfer.

You will work with brokers across segments, craft renewal strategies, and provide actionable feedback to improve model behavior.

#J-18808-Ljbffr

Commercial Insurance Advisor & Risk Strategist employer: Obsidian

Obsidian is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration among experts in the field. Employees benefit from a fast-start program with opportunities for growth and extension, alongside a commitment to quality in AI model training that makes a meaningful impact in genomics. With a focus on professional development and a supportive environment, Obsidian is dedicated to empowering its team members to excel in their careers.

O

Contact Details:

Obsidian Recruitment Team

We think you need these skills to ace Commercial Insurance Advisor & Risk Strategist

Insurance Knowledge
Risk Assessment
Client Advisory Skills
Data Evaluation
Industry Standards Understanding
Model Output Analysis
Renewal Strategy Development