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Synpulse

Management consulting and technology for finance

Senior Consultant - Reinsurance Business Data Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Proven experience in a London Market, UK Insurance, Reinsurance, Insurtech, or consultancy firm with exposure to Insurance or Reinsurance clients; candidates would typically have at least three years of sector exposure or equivalent relevant experience, although there is no fixed minimum threshold.
  • Experience working with reinsurance data.
  • Prior involvement in data, analytics, or data transformation initiatives within reinsurance organizations.
  • Strong understanding of reinsurance concepts and processes and the ability to apply this knowledge in data and analytical contexts.
  • Proven experience working as a business data analyst or in a similar role within reinsurance environments.
  • Advanced SQL skills for data analysis, investigation, and validation.
  • Ability to structure ambiguous problems and translate complex business topics into clear, actionable data requirements.
  • Ability to engage business and technical audiences, with stakeholder management and communication skills.
  • Consulting mindset focused on delivering practical, high-quality outcomes in client environments.
  • Understanding of key data and AI platforms and solutions used in the (re)insurance sector, and ability to identify improvement opportunities.
  • Bachelor’s degree, with an advanced degree (MBA, MSc, MA) and/or equivalent experience.
  • Must be UK-based, with flexibility for client-site engagement if required.

Responsibilities

  • Work with client stakeholders to understand business questions, data needs, and decision-making requirements, and translate these into clear data and analytical requirements.
  • Analyze existing data structures, definitions, and flows to identify inconsistencies, gaps, and improvement opportunities across data domains.
  • Support the design and evolution of data-driven solutions, such as data products, curated datasets, and analytical views, by contributing domain expertise, business logic, and clear definitions.
  • Collaborate with data engineers, architects, and technology teams to ensure business requirements are accurately reflected in implemented data solutions.
  • Perform data analysis and validation using SQL and Python to investigate issues, test assumptions, and support solution design.
  • Support impact analysis and change discussions when data structures, definitions, or logic evolve, ensuring business implications are clearly understood.
  • Build trusted relationships with client stakeholders through structured workshops and pragmatic problem-solving.
  • Apply understanding of reinsurance data across policies, risks, premiums, claims, exposures, transactions, and reinsurance arrangements.

Desired Qualifications

  • Professional qualifications such as ACA, ACCA, CIMA, or insurance-related certifications are beneficial but not essential.
  • Advanced communication, presentation, and facilitation skills for communicating effectively with stakeholders at various organizational levels.
  • Additional qualifications are a plus.

About the Company

Synpulse

Management consulting and technology for finance

Synpulse is an international management consulting and technology company that serves financial services providers. It helps clients with strategy, digital transformation, and technology-enabled solutions by combining management consulting with technology expertise to support large financial institutions. The company differentiates itself through its global reach and its status as a valued partner to many of the world’s largest financial services firms, reflecting deep industry focus and trusted relationships. Its goal is to help financial institutions succeed by delivering practical, capability-driven advice and implementations that bridge business strategy and technology.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Singapore, Singapore
Founded
1996

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