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.
HOW WE SOLVE IT
Connect internal and external data to build true, real-world entities and expand your understanding of borrowers and their relationships with other entities.
Use Graph Analytics to monitor portfolios of any size and dynamically reveal connections that aren't possible using traditional matching approaches.
Apply external data models into your scoring pipeline and incorporate multiple, disparate data sources to inform risk and credit decision-making.
Get real-time and early risk warning signal detection – up to 18 months in advance – about customers, counterparties, and their relationships.
THE IMPACT
faster aggregation of indirect links to non-customer counterparties
reduction in deduplication of customer IDs resolved to single entities
detect warning signals with longer lead time
WHERE WE HELP
Uncover proximate and emerging risks within the borrowers’ ecosystem, driving proactive alerts and delivering accurate early warnings.
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.
Drive profitability through positive environmental and social impacts, and foster long-term resilience, by unifying internal and external data sources for a contextualized understanding of climate and human rights risks.
Generative AI
Leverage Q Assist to expedite risk monitoring and management processes, credit decisioning, supply chain management, and ESG.
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.
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.
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.
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.