Skip to main content

Podcast

Managing tomorrow’s risks today: Quantifying emerging risks to drive success for energy & power companies

How D&O analytics reveal emerging risks in the energy and power sector—and convert insights into practical risk management and coverage actions.

Episode 13 of Marsh FINPRO’s Powered By podcast series examines directors & officers (D&O) risk through the practical lens of analytics, with Marsh experts Mike Carls and Allison (Allie) Pan explaining how broad data sets and proprietary claims history feed predictive models that anticipate both frequency and severity of suits. They show why D&O is a powerful prism for enterprise risk—how market signals, valuation shifts, M&A, and operational events can trigger investor losses—and how models are pressuretested and translated into limit-adequacy conversations at the board level. Listeners will get a clear sense of the questions insurers and executives should be asking to turn numbers into action: what to protect, how much to buy, and how to measure the value of every premium dollar.

The conversation then pivots to emerging risks in energy and power, where rapid demand growth, geopolitical supply-chain pressures, wildfire liability, and cyber-to-physical threats are reshaping historically stable utilities. Allie and Mike discuss the modeling challenges these uncertainties pose—when to use stochastic scenarios, when to pull in physics or sensor data, and why tail risks (beyond the 99th percentile) matter for resilience. The episode is full of practical insights and examples for risk managers and executives who want analytics that not only forecast exposures but help them design efficient insurance strategies and long-term mitigation plans—making it a must-listen for anyone responsible for enterprise risk in volatile sectors.

Apple Podcast
Download transcript

Three key takeaways:

Placeholder Image

Leverage

Use D&O analytics to quantify frequency, severity, and valuation impacts so boards can assess true exposure and tail risk.

centralize

Combine

Integrate emerging-risk models (cyber-to-physical, wildfire, demand/supply shocks) with D&O scenarios to capture cascading effects.

Placeholder Image

Evaluate

Adjust program design and limits based on model-driven insights to improve efficiency and protect against evolving, high-severity events.

Podcast

Powered by Marsh FINPRO podcast series

Learn more about our podcast series that examines the opportunities and challenges in the energy and power industry due to the energy transition and how to manage the resulting management liability risks.

About our speakers

Placeholder Image

Sarah Baldys

Senior Vice President, FINPRO Power & Renewables Leader

  • United States

Sarah is a Senior Vice President at Marsh where she leads a national team of FINPRO colleagues with specialized expertise in the Energy and Power sector.

Placeholder Image

Grace Brighter

Assistant Vice President

  • United States

Grace Brighter is an Assistant Vice President within Marsh’s FINPRO Placement Team. She is responsible for working with insurance carriers and negotiating competitive coverage for her clients.

Mike Carls

Mike Carls

Data & Analytics Leader, FINRPO US

  • United States

Mike advises organizations on complex Directors & Officers and broader Financial Lines risks, helping clients make more informed decisions around cost, volatility, and risk transfer strategy through analytics-driven insight.

Allison Pan

Allison (Allie) Pan

Senior Vice President, Emerging Risks, Marsh Advisory

  • United States

As a Senior Vice President with Marsh Advisory, Allie Pan is responsible for helping clients understand their strategic risks, especially in nascent and complex peril classes such as cyber, climate, violent threats, and supply and value chains. Allie specializes in the ways in which peril classes converge or are interdependent. This enables her clients to assess their risks in gray areas that are difficult to capture in traditional risk analysis.

Related insights