Customer Onboarding Analyst

Location: 

London, LND, GB

Job Type:  Full-Time
Work Mode:  Hybrid
Job Level:  Professional
Job ID:  11002
Company:  Munich Re Specialty - North America
Employment Type:  Regular
Area of Expertise:  Data, BI & Analytics
Description: 

Introduction

Munich Re Speciality North America is a leading expert in understanding and connecting US coverholders and brokers to flexible and innovative insurance solutions. We are also a registered Lloyd’s Broker. As a wholly owned subsidiary of Munich Re, we have access to the expertise, products and risk appetite of one of the largest and most successful insurance groups in the world. We are specialists in offering expertise in underwriting, broking and capacity management for US Excess and Surplus (E&S) lines insurance solutions. The unique combination of broking and underwriting divisions provides the ability to quote and bind risks through inhouse binding authorities, while providing customers with access to Lloyd’s, London Market companies, and Munich Re owned capacity in Germany and the US. 

 

Why join us?

 

We are a responsible employer, with a reputation for innovation and adding value in the insurance distribution chain. As a wholly owned subsidiary of Munich Re, we have access to the expertise, products, risk appetite and career development opportunities of one of the largest and most successful insurance groups in the world. As our business continues to grow, we are committed to expanding our team and provide development opportunities to ensure we are always supporting our people in their career journey. Our talent pool makes us who we are, and our inclusive culture means we are looking to continue to build our team with broad expertise, diverse backgrounds, and ambitious employees. Being part of Munich Re Speciality North America- UK provides access to multiple health and wellbeing benefits, work-life balance initiatives (including hybrid working), financial wellbeing packages as well as training, development and career opportunities.

 

Data Solutions, Customer Onboarding Team

 

MRSNA aims to provide US-based Managing General Agents (MGAs), Coverholders, and Third-Party Administrators (TPAs) with the most comprehensive, efficient, and time-sensitive reporting process available among carriers to manage binding authority contracts.

 

Based in London, the Customer Onboarding Team reports to the Chief Innovation Officer and is part of the Data Solutions Department. The Customer Onboarding Team is responsible for designing and building data models to capture standardised premium and claims datasets that meet the business and market requirements within which MRSNA operates and ultimately onboard our clients to the datasets.

 

The Role

 

We are looking for a highly skilled Customer Onboarding Analyst with a strong background in insurance data and client integrations. The successful candidate will be responsible for building out our insurance datasets, developing API specification documentation to facilitate seamless API integrations with our US-based Managing General Agents (MGAs). The ideal candidate will have a deep understanding of insurance data models, schema design principles, and data integration methodologies.

 

General Duties and Responsibilities

This role is ideal for a detail-oriented professional with strong technical skills who can independently manage projects from inception to completion. You will be responsible for compiling datasets and authoring specification documents to facilitate seamless integration with our APIs and systems.

  1. Business Analysis and Data Integration:
  • Work with MGAs/TPA’s to integrate insurance datasets, ensuring seamless real-time data exchange.
  • Collaborate with stakeholders to design and build out insurance datasets, ensuring data quality, integrity, and compliance with industry standards.
  • Collaborate with cross-functional teams, including data operations, IT, and business stakeholders, to ensure successful data integration.
  • Create sample data files (XLSX, XML and JSON formats) to facilitate testing and validation of API integrations.
  • Collaborate with clients to test and validate API integrations, ensuring data accuracy and integrity.
  • Handle ad hoc tasks related to data ingestions, demonstrating resourcefulness and adaptability.
  • Participate in testing and quality assurance activities to ensure API and data integration meet business requirements and industry standards.

  1. Customer Onboarding Coordination / Project Management:
  • Take ownership of onboarding projects from start to finish, managing timelines, resources, and deliverables independently. Escalate issues to the manager when blocked, demonstrating strong problem-solving skills and initiative.
  • Build and maintain strong relationships with clients, understanding their technical requirements and providing tailored support to ensure successful Onboarding.
  • Develop and implement a structured API onboarding process to ensure clients are successfully integrated with our APIs.
  • Gather client feedback and provide ongoing support to ensure successful API adoption and integration.
  • Demonstrate initiative by proactively following through on projects and keeping the ball rolling.

  1. Technical Documentation and Integration Support:
  • Provide technical guidance and support to clients during the onboarding process, including API key provisioning, authentication, and data formatting.
  • Develop and maintain technical documentation, including API documentation, data models, and integration guides.

 

 

Key Skills and Experience

  • Business Analysis knowledge and experience gained within the insurance industry, preferably Lloyd’s of London and other Company Markets.
  • Strong understanding of insurance data models, including claims, policies, and risk assessment.
  • Strong analytical thinker with the ability to assimilate large amounts of data/information and produce concise summaries in an appropriate format.
  • We are looking for a naturally inquisitive, motivated individual who is also confident enough to ask when they don‘t fully understand.
  • In order to succeed in the role you will need to forge strong relationships with stakeholders around the project, so good people skills are key.
  • Experienced working with Excel or Dataiku in manipulating and analysing data.
  • Enjoys a challenge – works hard and is capable of quickly understanding the technical and/or business detail even in unfamiliar areas.
  • Able to work collaboratively and to build great working relationships as well as share information and ideas with others.
  • A competent problem solver.
  • You will be focused on/committed to continuous learning and development.
  • Excellent oral and written communication skills.
  • Familiarity with data formats, including JSON, XML, and CSV.
  • SQL

 

 

Benefits

This position is offered on a Permanent basis. Annual salary will be dependent on the skills and experience of the successful candidate. Annual leave - 25 days per year (plus bank holidays), increases with length of service. Health & Wellbeing – our offering includes private medical insurance for employees, their partners and their families, a Digital GP service and an annual allowance (currently £550) any activities which supports health and wellbeing.  Hybrid and remote working – to support your work balance we have introduced hybrid working.  You will be provided with support to work from home up to a maximum of three days per week.  Flexible working hours – the opportunity to flex your working hours. Professional Qualification Support – (discretionary) financial support covering the cost of professional qualifications, including institute membership, exams, study materials and completion bonuses. Generous gender-neutral family leave policy - employees with 26 weeks’ continuous service at the Expected Week of Childbirth are eligible to receive 26 weeks full pay. Team fun – warm and social culture with regular get togethers.

 

Equal Opportunities

 

MRSNA is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or parental status.

 


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