Insurer Data Manager (P&C Insurance)

JR United Kingdom; Basingstoke; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading company is seeking an experienced professional in data management for their Risk Exchange Data Operations team. The role involves supporting data onboarding processes for Insurers, ensuring accurate data delivery, and managing relationships while collaborating cross-functionally. Ideal candidates will be subject matter experts with expertise in P&C insurance and data analysis.

Benefits

Flexible time off

High-quality health and dental benefits

Remote work flexibility

Opportunities for in-person interactions

Qualifications

• 5+ years of P&C insurance experience required.
• Experience in business analysis and requirements gathering.
• Preferred knowledge of data ingestion tools, technologies, and processes.

Responsibilities

• Support the data onboarding process for Insurers.
• Collaborate cross-functionally to meet data requirements.
• Ensure timely submission of data feeds to Insurers.

Skills

Analytical Skills

Communication Skills

Tools

Data Ingestion Tools

Job description

The Role:

Our objective is to reshape the value chain for our Members and Insurers using data-driven insights. Our success will be based on the value data creates for our Members, risk capital providers, other suppliers, and ourselves.

Your role will contribute to the overall success of the Risk Exchange Data Operations team, responsible for managing and delivering timely and accurate reporting to Insurers and partners of the Risk Exchange.

You will establish relationships with Insurers, become a subject matter expert in their data and reporting requirements, and collaborate cross-functionally to ensure the accuracy and reliability of the data provided to Insurers and partners.

Responsibilities:

• Support the data onboarding process for Insurers and demonstrate a comprehensive understanding of their reporting requirements.
• Collaborate cross-functionally with Insurers, Data Acquisition Operations, Product, and Development teams to ensure data requirements are achievable and efficiently met.
• Work with Product and Development teams to facilitate the development of automated data feeds.
• Assist the Member Data Managers with mapping, transformation, cleansing, and validating Member/TPA data to adhere to Insurer standards.
• Ensure the timely submission of regular data feeds to Insurers, maintaining a consistent and dependable flow of data.
• Support the monitoring, tracking, and resolution of Data Quality issues raised by Insurers.
• Support the Insurer Reference Data Management processes—maintaining up-to-date and accurate information.

Experience:

• Must have 5+ years of P&C insurance experience; you are an insurance subject matter expert.
• Experience in business analysis and requirements gathering.
• Preferred knowledge of data ingestion tools, technologies, and processes.
• Experience within specialty/E&S markets is preferred.

Preferred Skills:

• Strong analytical skills.
• Strong communication skills.
• Familiarity with Lloyd’s Data Standards.
• Good understanding of data validation rules, data quality metrics, and reporting requirements.
• Proven ability to self-manage and work independently.
• Ability to prioritize efficiently.

Additional Notes:

Accelerant Holdings is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Benefits:

• Work-life balance: Flexible time off to prioritize health and well-being.
• Health and wellness: High-quality health, dental, and other benefits.
• Remote work: Open to candidates across the U.S. or UK with flexibility for collaboration in Eastern Time Zone mornings.
• Travel: Opportunities for in-person interactions to strengthen team and member relationships.

About Accelerant:

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers, operating across more than 20 countries with over 250 specialty products. Founded in 2018, it aims to rebuild the way risk is exchanged for better efficiency and effectiveness. For more information, visit www.accelerant.ai.