Howden Tiger appoints inaugural chief science officer

He will lead a specialist R&D team focused on insights and innovations

Howden Tiger appoints inaugural chief science officer

Reinsurance

By Kenneth Araullo

Howden Tiger, the reinsurance and capital advisory branch of Howden Group, has elevated Bhaskar Chattaraj (pictured above) to the role of chief science officer (CSO), a new position within the company.

With a tenure that began in 2009, Chattaraj previously held the position of head of cat modeling and research & development (R&D) prior to assuming his new role at the outset of 2024. His appointment brings over two decades of experience in devising and implementing sophisticated risk management solutions to the forefront of Howden Tiger’s operations.

He is tasked with leading a specialized R&D team focused on delivering insights and innovations that assist re/insurance clients worldwide in enhancing the profitability of their portfolios. His responsibilities include advancing the next wave of catastrophe risk management models and frameworks, with a strong focus on leveraging machine learning and artificial intelligence (AI).

Operating from Minneapolis, Chattaraj reports directly to Nathan Schwartz, head of global analytics at Howden Tiger. Schwartz commented on Chattaraj’s promotion, emphasizing the pivotal role of AI and machine learning in reshaping risk management within the re/insurance industry.

“With an incredible wealth of data at our disposal, the latest developments in AI and machine learning are rapidly redefining how the re/insurance industry can model, monitor, and manage risk. Having access to the latest and most sophisticated scientific insights will truly differentiate the leaders in this market, and I’m delighted to have Bhaskar at the forefront of our innovations,” Schwartz said.

Expressing his enthusiasm for his new role, Chattaraj highlighted the transformative period currently underway in risk modeling and the critical challenges facing the re/insurance industry.

“Inflation volatility, climate change, the net-zero transition, civil unrest and war, are defining a risk environment that has become more difficult to predict. At the same time, AI and machine learning are unlocking new ways to collect, analyze and utilize catastrophe, weather and geo-spatial data. Seizing this opportunity with state-of-the-art risk management solutions will enable our clients to construct more robust, more profitable portfolios – and ensure that Howden Tiger remains at the forefront of underwriting innovation,” he said.

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