Bordereaux Analyst: Hybrid Insurance Operations

Bordereaux Analyst: Hybrid Insurance Operations

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Configure risk data and manage relationships with cover holders and providers.
  • Company: Fast-growing MGA scale-up in Central London.
  • Benefits: Competitive salary, hybrid working, 10% annual bonus, and generous pension plan.
  • Other info: Exciting opportunity for career growth in a supportive environment.
  • Why this job: Join a dynamic team and make an impact in the insurance industry.
  • Qualifications: Experience in data management and strong relationship-building skills.

The predicted salary is between 50000 - 65000 Β£ per year.

Sanderson Recruitment Plc is seeking a Bordereaux Analyst in Central London. As part of a fast-growing MGA scale-up, you will ensure the accurate configuration of binding agreements and manage relationships with cover holders and third-party providers.

Key responsibilities include:

  • Configuring risk and claims data
  • Overseeing Bordereaux processing
  • Maintaining operational standards

The position offers a competitive salary, hybrid working, and benefits like a 10% annual bonus and a generous pension plan.

Bordereaux Analyst: Hybrid Insurance Operations employer: Sanderson Recruitment Plc

Sanderson Recruitment Plc is an excellent employer for those seeking a dynamic role in the insurance sector, particularly as a Bordereaux Analyst in the vibrant setting of Central London. With a strong focus on employee growth and a supportive work culture, the company offers competitive salaries, hybrid working options, and attractive benefits such as a 10% annual bonus and a generous pension plan, making it a rewarding place to build your career.

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Contact Details:

Sanderson Recruitment Plc Recruitment Team

We think you need these skills to ace Bordereaux Analyst: Hybrid Insurance Operations

Data Configuration
Bordereaux Processing
Relationship Management
Operational Standards Maintenance
Risk Data Management
Claims Data Management
Attention to Detail