Riskthinking.AI provides a data and analytics platform focused on climate risk analytics, utilizing a patented methodology to assess climate hazards and provide geospatial asset data.

Riskthinking.AI

riskthinking.AI | 4,869 followers on LinkedIn. The most advanced analytics available for climate risk
 | Founded by financial risk pioneer Dr. Ron Dembo, Riskthinking.AI is a leading data and technology company that is repricing financial risk with the reality of climate change. Their innovative algorithms are used to generate, curate, and maintain a detailed physical asset, infrastructure, and commodities database that covers more than one hundred thousand public and private companies.

CEO@Oceonomy | Board Director/Advisor | MBA Professor of Data Governance AI | Former CIO/CDO at Visa, SCB, Docomo, AmEx | Economic Ambassador APAC

Dr. Meri Rosich

Founder and CEO at Riskthinking.ai

Dr. Ron Dembo

Aligning financial flows with a low carbon, climate resilient future | Views expressed here are my own

Darius Nassiry Darius Nassiry is an Influencer

Chief Technology Officer at riskthinking.AI

Dilshan Kathriarachchi

riskthinking.AI

Catch our COO, Bobby Shackelton , this week at the Singapore Fintech Festival. Contact us, or him directly, to coordinate a meeting while he is visiting Singapore. 🌎

Our founder, Dr. Ron Dembo , recently met with Paul Ellis , host of the The Sustainable Finance Podcast to discuss the "Climate Earth Digital Twin" platform that was built by riskthinking.AI , a climate risk data and technology company to model the financial impacts of climate risks. This platform is the only truly stochastic or randomly determined solution available for measuring climate financial risk worldwide and into the future. This is a must view for those in finance and insurance trying to grapple with the radical uncertainty of climate change. Full podcast: https://lnkd.in/g_iF_Xhy #climatefinancialrisks #stochasticsolution #MathematicalSciences

🌍 How Do Election Scenarios Impact the S&P 500's Most At-Risk Companies? Ever wonder how differing policies could reshape the future of corporate climate risk? Here's a look at the Top 10 Most At-Risk S&P 500 Companies in 2050 under two vastly different scenarios: a Trump-led future vs. a Harris-led one. 🔎 Key Takeaways: - EOG Resources Inc: VaR jumps to 69% under Trump vs. 57% under Harris. - Norwegian Cruise Line Holdings Ltd: Consistent high risk (62%) across both scenarios. - Overall, Harris' scenario shows lower risk exposure for most companies, signaling a significant shift in climate policy impact. 📊 These numbers are a wake-up call for corporate strategy and investment planning. Risk management in a climate-uncertain future is more crucial than ever. 💡 Are your assets ready for 2050? Let’s discuss how these scenarios could impact your portfolio. #ClimateRisk #CorporateRisk #2050Outlook #Sustainability #InvestmentStrategy

As part of our ongoing look at the U.S. election and how climate financial risks play out when transition risks and physical climate risks collide, Dr. Ron Dembo is taking a close look at Oklahoma where a Harris win looks likely to be a surprise win on the climate risk front for the state. Next week we will dig into more of the data with Bobby Shackelton and take a look at the methodology we are using. And if you live in the U.S., remember your vote counts! #climaterisk #vote #election2024

At RiskThinking.AI , we understand that every sustainable finance firm has unique needs when it comes to managing climate risk. That's why our custom VELO Data Solutions are designed to give firms the flexibility to engineer their own Value At Risk (VaR) scores. By leveraging our robust, granular data, you can tailor risk models to better reflect the specific climate exposures of your portfolio. With custom VELO solutions, firms can integrate climate risks into their financial assessments, helping to align strategies with long-term sustainability goals. This approach empowers sustainable finance teams to not only meet regulatory demands but also stay ahead in managing risk and capturing opportunities in an evolving market. Reach out here or at climate@riskthinking.ai to learn more. #ClimateRisk #SustainableFinance

Transition and physical climate risks are closely intertwined when analyzing the potential impacts of the US election. For example, the transition to Trump would present significantly different physical risks compared to a transition to Harris in January. In this and future posts, we will examine these divergent scenarios based on the likelihood of each candidate winning, as reflected by changing polls in the lead-up to the election. Ahead of that and just to set the stage here, it is important to understand that both parties have policies related to Climate Change. Specifically, whether they are aligned with the Paris Agreement or not. The Democratic Party has stated their policy is to align with the Paris Agreement. https://lnkd.in/g4c3hsbG https://lnkd.in/gt-HBBKW The Republican Party previously pulled the USA out of the Paris Agreement and have stated that their policy is to accelerate both fossil fuel and renewable developments for domestic use. https://lnkd.in/gWQRZ8Gy https://lnkd.in/g2q34Btg Those policy positions represent transition risks that will play out in the real world in terms of emissions that will lead to pressure on the physics that shape climate. And to understand what impact that might have you need to be able to simulate a range of possible futures since there is always uncertainty. But what's striking is that if you model this out, you really do see a clear difference in terms of the emissions that are going to force physical changes to happen in the future. This is what our simulations say about how different all the possible worlds are when it comes to emissions in a Trump or Harris world. The grey lines show you modelled scenarios for US Carbon Emissions from the NGFS, IPCC, IAMC and other sources widely used in the scientific community. The dotted red and blue lines show you the mean US emissions based on the scenarios that align with Trump's and Harris's policy positions. The shaded areas, meanwhile, show you the range of emissions that align with the scenarios for each candidate. The picture they paint is of two very different worlds with two very different consequences for our physical world. #climaterisk #election

At Riskthinking.AI , we make climate risk easy to see and understand. Use ask.riskthinking.ai and let us do the hard work to model even the largest companies and gain a deeper understanding of the risk exposure for Walmart or any the other 18,000 publicly traded companies we cover. #ClimateRIsk #FinancialRisk

Policy changes can have a significant impact on the world around us and now we have the ability to look much further into the future to see that difference. Follow our own Bobby Shackelton over the next couple weeks as he breaks down the real world implications of a Trump or Harris win in 2024. #climaterisk

October has been a difficult month with tremendous damage done to people and communities as extreme rainfall, cyclones, storm surges and devastating floods continue to take a terrible toll. At RiskThinking.AI , we're committed to helping people, institutions and governments understand the growing risks posed by extreme weather around the world. By providing actionable climate risk data, we aim to support communities and industries in building resilience against these increasingly frequent events. This is a shared challenge for all of us. #climaterisk #flooding #resilience #cfinancialrisk #OSFI #SCSE

Thanks to Mitch Ratcliffe for hosting the Wall Street Green Digital session with our Founder and CEO Dr. Ron Dembo . Digital twin technologies like our Climate Earth Digital Twin are here now and promise to give companies, financial institutions, regulators and governments much greater insight into the range of possible futures that need to be considered. Real modeling of climate financial risk is possible now and markets will need to respond. #climatefinancialrisk #digitaltwin

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