Ben Margulies is a journalist at Insurance Day. He covers a range of topics within the BFSI and insurance sectors, with a particular focus on artificial intelligence, machine learning, and technology in construction and real estate. Ben's insights have been featured in Central Banking, Lloyd's List, and Insurance Day.
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Ben Margulies' coverage focuses on the finance and economy sector, with a strong emphasis on insurance, reinsurance, risk management, central banks, and monetary policy. His articles often feature government announcements and legal policy regulation.
When reaching out to Ben Margulies, consider offering insights or commentary related to developments in the insurance and reinsurance sectors. Topics such as risk management practices, regulatory changes impacting the industry, or analysis of financial trends would likely align well with his coverage focus.
Given his interest in government announcements and legal policy regulations within the finance sector, experts who can provide analysis on how these factors impact insurance markets are likely to resonate with him.
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By: Ben Margulies
Low flood insurance coverage will leave much of the damage uncovered, Aon says
German insurance giant appoints Talbot chief executive to lead global specialty expansion
Commission considers extending ‘Danish Compromise’ to insurer investments in financial institutions
Chief executives must map risk and activity across internationally active insurance groups
Construction firm’s collapse could dampen sentiment and keep prices higher and surety bond terms more restrictive, according to Gallagher
Captive specialist targets ‘underserved’ US mid-market with reframed proposition
Glacial collapse triggers floods and landslides, killing hundreds
Proposed law would ban ceding subrogation rights to third parties
By: Ben Margulies
Regulator will investigate whether insurers and broker are discouraging abusive behaviour and adopting proper oversight and disciplinary procedures
Climate change, more extensive urbanisation and inflation drive increase in modelled loss
