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Insurer Data Manager (P&C Insurance)

JR United Kingdom

Reading

Remote

GBP 50,000 - 75,000

Full time

3 days ago
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Job summary

A leading company in the insurance sector is looking for a Data Operations Specialist to manage and deliver precise reporting for Insurers. Your role entails collaboration with various teams to ensure data accuracy and quality, leveraging over 5 years of experience in P&C insurance. Join a diverse environment that values inclusion and offers flexible benefits.

Benefits

Flexible time off
Health and dental benefits
Opportunities for team-building travel

Qualifications

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

Responsibilities

  • Support data onboarding for Insurers and ensure reporting requirements.
  • Collaborate with Insurers and internal teams for data accuracy.
  • Assist with data mapping, cleansing, and validation.

Skills

Analytical skills
Communication skills
Data validation rules
Data quality metrics
Self-management
Prioritization

Education

5+ years of P&C insurance experience

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 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 Member Data Managers with mapping, transformation, cleansing, and validating Member/TPA data to meet Insurer standards.
  • Ensure the timely submission of regular data feeds to Insurers, maintaining a consistent and dependable flow of data.
  • Support 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, being an insurance subject matter expert.
  • Experience in business analysis and requirements gathering.
  • Preferred knowledge of data ingestion tools, technologies, and processes.
  • Preferred experience within specialty/E&S markets.

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 rest and recharge.

Health and wellness: High-quality health, dental, and other benefits.

Remote work: Open to remote candidates in the UK and U.S., with collaboration mainly in Eastern Time Zone mornings.

Travel: Opportunities for in-person interactions and team building.

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 a strong insurer rating. For more info, visit www.accelerant.ai.

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