Reinsurance broker modernizing analytics and operations at scale
Willis Re is a reinsurance broker operating with a 50-person ops-and-data-focused team, built around Excel, Python, R, SQL, and Verisk. The hiring velocity—6 roles in 30 days across ops, data, and finance, tilted toward mid and senior levels—paired with active projects in catastrophe modeling, analytics capability building, and carrier onboarding, suggests infrastructure maturation rather than proof-of-concept. Regulatory reporting compliance and portfolio optimization appear as persistent friction points, consistent with a broker scaling operations faster than processes.
Willis Re is a reinsurance broker headquartered in London, operating as a specialized player in the insurance market. The company combines legacy reinsurance experience with modern analytics tooling (Python, R, SQL, Verisk) to advise insurers and reinsurers on market placement and risk strategy. Current work spans catastrophe broking operations, carrier relationship management, and supplier governance, with active buildout of internal analytics and modeling workflows. The team of 51–200 operates primarily from the UK with hiring focused on operations, data, and finance roles.
Excel, Python, R, SQL, GIS, Verisk, Workday, Microsoft Office, Monday.com, and Jira form the core stack. The company is adopting Adaptive Planning for workforce or financial planning.
Active projects include catastrophe broking workflows, carrier onboarding streamlining, catastrophe modeling development, supplier risk management frameworks, and building differentiated analytics capability for client pitches and portfolio optimization.
Other companies in the same industry, closest in size