Speakers

Mahir is a Senior Economist leading research and analysis on the US economy. He is a frequent contributor to Sigma reports – Swiss Re's research series on the insurance industry and macroeconomic trends. He supports Swiss Re's strategic planning on market developments and the economic environment, and frequently speaks on economic related topics. He produces a monthly global economic outlook publication, along with frequent economic insights on current events and developments in the global economy. He also leads the production of global economic scenarios centered around trade policy, financial markets and tail risks which support Swiss Re's financial planning and strategic asset allocation. He has been cited in the Wall Street Journal, Bloomberg, NPR, and other financial media outlets and holds a master's degree from New York University and a bachelor's degree from Pace University.

Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. Through our work with clients, we fulfil our vision of helping to make the world more resilient. We have a distinct mission: together, we apply deep knowledge, intelligent data analysis and capital strength to anticipate and manage risk.

That’s how Swiss Re powers progress for our clients, helping the world rebuild, renew and move forward. Today, 75% of risks – from natural catastrophes and climate change to ageing populations and cybercrime – remain uninsured. We aim to change that.

Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 70 offices globally. Our approximately 14,400 employees provide a wide range of technical expertise, enabling us to develop unique solutions and drive growth. Swiss Re is organised into Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission. Through our strong financial position, we provide the security clients need, especially during times of uncertainty and transition.