Quantexa

Risk Management

Unite and maximize disconnected data and operations. Automate and align lending decisions to enhance resiliency. Improve customer experiences to facilitate precise and sustainable lending.

CHALLENGE

Take the guesswork out of credit and lending decisions

Traditional risk management solutions can't provide a clear understanding or consistent view of a risk ecosystem, preventing sustainable lending. Revolutionize your risk management approach by connecting siloed data to make context-driven decisions that reduce credit and lending risk.

84%

of businesses say resilience and tech security is their top priority 1

74%

of businesses expect an increase in regulatory activity in 2023 2

HOW WE SOLVE IT

Revolutionize risk management with context

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Develop 360-degree views of all parties

Connect internal and external data to build true, real-world entities and expand your understanding of borrowers and their relationships with other entities.

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Surface hidden connections quickly

Use Graph Analytics to monitor portfolios of any size and dynamically reveal connections that aren't possible using traditional matching approaches.

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Incorporate non-traditional data

Apply external data models into your scoring pipeline and incorporate multiple, disparate data sources to inform risk and credit decision-making.

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Empower efficient credit assessments

Get real-time and early risk warning signal detection – up to 18 months in advance –  about customers, counterparties, and their relationships.

THE IMPACT

What we have achieved

900x

faster aggregation of indirect links to non-customer counterparties

>20%

reduction in deduplication of customer IDs resolved to single entities

9-12 months earlier

detect warning signals with longer lead time

Why Quantexa

The advantages of managing risk with Quantexa


Use trigger-based reviews with prebuilt context to dramatically reduce manual credit assessments and reactive processes.

WHERE WE HELP

Strengthen resiliency with better risk-based decisions

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Portfolio Monitoring – Early Signals

Uncover proximate and emerging risks within the borrowers’ ecosystem, driving proactive alerts and delivering accurate early warnings.

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Holistic Counterparty Profiling

Connect internal and external data to query aggregated risks for a clearer understanding of counterparty hierarchies, supply chains, and their relationships in real time for greater risk resiliency.

Solution Overview

Get an overview of Quantexa’s Risk Management solutions

category-leading technology

Our Decision Intelligence Platform

Build a single view of data and create a culture of confidence around critical decision-making that protects, optimizes, and grows your organization.

outcome-driven solutions

Decision Intelligence solutions built on our platform

FAQs

How will you strengthen my risk assessment strategy beyond what I’m already doing today? Chevron Down

We enhance the work your teams are already doing by providing more efficiency and effectiveness. With market-leading technology, we connect internal and external data for a single view of the borrower, furthering your understanding of their direct and indirect relationships including customers and suppliers in the supply chain. With these advanced capabilities, we can continuously monitor profiles for long-standing risk even beyond a single entity.  

Quantexa Risk solutions consist of Portfolio Monitoring – Early Signals and Holistic Counterparty Risk Profiling. Unlike most early warnings solutions that focus on financial and behavioral and event-driven drivers only, our platform goes beyond this and adds supply chain, transactional behaviors, news, and industry views to accelerate warnings 18-24 months in advance. Counterparty Risk Profiling analyzes assessments across sales, legal, and credit structures for a broader understanding of the borrower and counterparty networks to help accurately identify risk.  

With open architecture, we seamlessly integrate with existing systems, allowing teams to input connected networks to their existing models and continue to use their current, preferred tools to enhance performance.  

It sounds like you’re selling a financial crime-related tool, how does it relate to credit risk? Chevron Down

You’re correct in that our market-leading technology was originally designed for financial crime detection. However, the challenges for financial crime and enterprise risk users are comparable. Both need a single view of the customer, a single view of counterparties as well as an understanding of relevant context around them. With our unique, connected context built through advanced capabilities, we can leverage the success in financial crime and apply this to a more advanced approach to enterprise risk that ultimately facilitates enhanced risk management.   

I’m looking to strengthen my risk resiliency strategy overall. Credit risk is a part of that but how would you add more value to my overarching approach? Chevron Down

In addition to our solutions which drive early warning signals and strengthen your regulatory approach to counterparty profiling, we improve risk data hygiene and support immediate and long-term resiliency strategies enterprise-wide. With advanced capabilities and our enriched view of the borrower’s ecosystem, we enhance credit models and portfolio performance by monitoring and identifying second-order risk impact through a context-driven understanding of connected exposures and indirect borrowers, we can automatically aggregate and assess market sentiments. With context, we clearly identify counterparties to offboard and pinpoint risky exposures that align with a given risk appetite.  

 Our modernized, data-driven processes position Quantexa as your partner to not only strengthen risk resiliency but also improve client experiences and growth across your organization over the long term. 

I’m looking to use news as a source for early warning signals. Is this something I can do with Quantexa? Chevron Down

Quantexa provides access to over 80,000 news publishers from around the globe, averaging ~1.2M news articles per day. Every article is enriched using industry-beating AI to transform unstructured news articles into structured news data, which includes granular category, industry, and entity tags. This enables you to easily configure sophisticated queries that pinpoint relevant news and proactively monitor warning signals related to your specific risk landscape. 

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