Digitizing underwriting workflows

Risk trading decisions are complex. They require teams to collaborate across different disciplines, regions, corporate departments, and lines of business. It also complicates matters when each team operates from a different view of risk — each using varying exposure data, modeling approaches, or analytical engines.

Moody’s solutions for digitizing underwriting are designed to unify the risk life cycle. By delivering a holistic view of risk, we help (re)insurers address the complexities that arise from using on-premises systems and build workflows that can realize the full value of their data, generate new risk insights, and reduce volatility in risk assessment.

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How can we help?

Risk silos, poor data quality, and productivity bottlenecks are far too common across the insurance value chain, from prebind risk assessment to risk and capital management. Evolving your risk analytics to overcome these challenges and adapt to the new world of risk requires clear, measurable benefits to accelerate your journey to the cloud.

Underwrite risk with confidence

Moody's Intelligent Risk Platform™ helps (re)insurers gain real-time, higher-quality, deep risk insights using open standards, untapped data services, and unified data repositories. With greater automation and governed and administered data, stakeholders can analyze risk with greater rigor and manage it more effectively across the insurance life cycle.

Improve collaboration between risk stakeholders

Moody's unified data repository and platform services streamline communication and collaboration among stakeholders, enhancing decision-making throughout the risk management life cycle. Creating a centralized source of reliable information built on consistent data practices across all risk-related workflows helps make sure that teams can access the essential data needed for efficient underwriting, exposure control, and portfolio steering.

 Drive business growth

(Re)insurers can access consistent and correlated insights from a collaborative suite of risk management applications across the underwriting workflow. Our modern, cloud-native APIs allow you to automate critical workflows and promote frictionless communication between catastrophe modeling and underwriting systems.

Accelerate onboarding of new risk insights

The architecture of Intelligent Risk Platform is designed to allow new capabilities to be easily added without needing to procure and install new infrastructure. Moody’s can help customers meet evolving market demands by building and delivering highly differentiated services directly into applications, such as generative artificial intelligence (GenAI).

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Testimonial

For BMS Re, it is about being able to meet local needs on a global scale. In fact, since the adoption of Risk Modeler, our analytics specialists are spending much more time onsite with our customers around the world, working directly with actuarial and underwriting teams to address any challenges or queries they may have.

— Scott Christian
BMS Re Executive Vice President, Catastrophe Analytics

Featured solutions

01 Risk Modeler

Risk Modeler

Unlock deep risk insights and improve real-time decision-making with cloud risk modeling software that combines innovative catastrophe models, efficient modeling workflows, and tools to get behind the model numbers.

TreatyIQ

Our advanced financial modeling delivers effective treaty and portfolio analytics for reinsurers. Moody’s robust financial model can capture even the most complex treaty details including reinstatements, aggregate limits, and cascading layers.

Location Intelligence API

Location Intelligence API harnesses terabytes of catastrophe simulation data to provide insights of individual properties in real time so underwriters can make better and more informed risk decisions with location-specific attributes delivered in sub-second latency. 

UnderwriteIQ

UnderwriteIQ™ provides underwriters with extensive Moody’s hazard data and peril models for the analytics needed to enhance the speed and quality of underwriting decisions for cat-exposed businesses and complex risks.

HWind

This includes real-time pre-landfall forecasting products for the North Atlantic Basin, plus observation-based snapshots and cumulative hazard footprints leading up to and following landfall events in the North Atlantic, East Pacific, and Central Pacific basins. Catastrophe modelers have access to HWind as a standalone solution or integrated into the Risk Modeler and ExposureIQ™ applications.

Enriched datasets

Moody’s enriched datasets allow organizations to enhance the quality of their catastrophe modeling insights by providing exposure data and extensive analytics across all lines of business. Leveraging Moody’s deep property expertise, these datasets seamlessly integrate into our risk applications, improving risk insights for more than 112.5 million commercial locations.

Professional services

The Moody’s insurance solutions consulting services team leverages decades of experience to assess your current risk position and identify enhancements in deploying catastrophe analytics.

Case studies

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Moody's

Risk intelligence: accelerating innovation in catastrophe risk management

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Moody's

Delivering data automation and integration in a fraction of the time

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Moody's

Data enhancement: providing data quality that meets exacting underwriting standards

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Moody's

Digitizing event response

Moody’s unlocks greater efficiencies in event response workflows with open standards, real-time data, industry-leading analytics, and modular technology. Firms can achieve increased business agility from faster modeling, greater continuity of risk perspectives, and improved data mobility, supporting business decision-making during high-stress periods.

blog

Aug 26, 2022

Moody's

Breaking down data silos with Moody’s RMS Unified Risk Analytics Platform

Moody’s Intelligent Risk Platform is built to resolve the issues arising from siloed risk systems. With the Intelligent Risk Platform, your exposure management teams, risk modeling teams, underwriters, and treaty managers can access a unified data store containing a shared copy of your data, including your portfolio, account information, policies, treaties, and more.

blog

Nov 10, 2022

Moody's

Impact of inconsistent geocoding on risk transfer and pricing

Accommodating geocoding uncertainty can impact risk transfer decisions across the entire life cycle. Inaccurate locations could mean taking a more cautious approach for fear of potentially underwriting the wrong location or a bad risk.

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Moody's

Digitizing risk workflows

The interconnected nature of risk is increasingly complex and costly, amplifying crises’ impacts on businesses and posing significant challenges for insurers in understanding, predicting, pricing, and managing risk. Cloud-native technology offers reinsurers a powerful opportunity to future-proof their risk strategies while building more automated, resilient, and dynamic workflows. By harnessing agility, scalability, and innovation of the cloud, insurers can transform their approach to risk analytics and elevate their ability to navigate today’s evolving risk landscape.