Digital-led Risk Transformation

Automated Risk Insights

Streamlined credit risk analysis

A PwC Netherland Product

At many banks and other institutions concerned with credit, the financial performance of companies is analysed manually. This results in a time-consuming and error-prone assessment leading to inefficient credit risk management. Consequently, employees spend too much time reviewing data and not leveraging insights enough.

This problem is solved by PwC's tool Automated Risk Insights, which enables you to save time and gather observations more frequently and thus, create new opportunities. In addition, it increases the quality of your credit risk identification, measurement, management, and reporting through the use of state-of-the-art statistical models. Automated Risk Insights ensures consistency by supporting every analysis with the same metrics.

Navigating Challenges in Credit Risk Analysis

Market Volatility and Economic Uncertainty

Navigating financial performance challenges amid market volatility requires adaptive strategies and resilient decision-making

Data Accuracy and Quality

Reliable financial analysis hinges on accurate, high-quality data; challenges arise when data integrity falters

Rapid Technological Advancements

Keeping pace with evolving technology is essential; financial assessment faces hurdles in integrating advanced tools effectively

Global Regulatory Changes

Adapting to shifting global regulations demands constant vigilance, posing challenges to accurate financial performance evaluation

Streamline credit risk analysis with PwC’s Automated Risk Insights

At many banks and other institutions concerned with credit, the financial performance of companies is analysed manually. This results in a time-consuming and error-prone assessment leading to inefficient credit risk management. Consequently, employees spend too much time reviewing data and not leveraging insights enough. This problem is solved by PwC's tool Automated Risk Insights, which enables you to save time and gather observations more frequently and thus, create new opportunities. In addition, it increases the quality of your credit risk identification, measurement, management, and reporting through the use of state-of-the-art statistical models. Automated Risk Insights ensures consistency by supporting every analysis with the same metrics.

01

Forecasting

State-of-the-art statistical models allow rolling forward financials up to 3 years and analysing the risks present. The use of trusted risk scores (e.g. Altman) and validated PwC models ensure high quality and consistency of data

02

Visualisation of Data

The tool visualises key performance and risk metrics to promote effectiveness along with providing details up to the individual line item

03

Increased frequency of insights

With an automated process to generate the risk insights, analysis saves time. The decreased effort enables you to gather insights into the risks present more frequently, thereby allowing you to identify previously unknown risks

04

Identify opportunities

The tool enables you to spot companies that might be in need of different products, creating commercial opportunities. It opens up avenues to cross-sell to current clients based on the more extensive insight into their financial situation

Workflow of PwC’s Automated Risk Engine

  • Select any company in the tool's database of 300 million companies and identify a number of peers for benchmarking
  • Choose the available or add custom models to analyse the data.
  • Take a closer look: Drill down to the deepest level of the underlying data and identify potential risks and opportunities
  • Make your final decision based on the data-driven insights provided
  • Explore scenarios for the companies' future and analyse sensitivities to macroeconomics and company-specific events

Brochure

Automated Risk Insights

Speak with an Expert

Get in Touch

Product Owners

Manpreet Singh Ahuja

manpreet.singh.ahuja@pwc.com

Aman Goel

aman.goel@pwc.com

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