Contact us today!

Enterprise Risk Management for Banks

In the commercial loan underwriting business, you must take a long-term perspective on risk management because the devil is in the details.

Some concepts covered are well-established, while others might cause you to rethink your internal risk management policies.

Contact sales

Why manage risk?

It is important for banks to identify, assess, and take steps to minimize or control their risks so they do not damage their value and threaten their solvency. Risk management involves identifying, assessing, and taking steps to minimize or control these risks. Implementing an enterprise risk management program can enable banks to identify, evaluate, and manage risks related to their business operations more effectively.

Custom Software

A small river named Duden flow by their place and supplies with the necessary

Loan Approvals

Prepare a comprehensive package for your loan committee to make a decision using templates that you define.

Risk Rating

Use a combination of objective and subjective measures to standardize and justify your risk ratings.

Exception Tracking

Effectively manage your documentation and loan exceptions with configurable ticklers that are created automatically.

Document Imaging

Securely store documents across your organization. From credit files to human resources, vendor management, and internal documents, digitized files are at your fingertips.

Stress Testing

As external factors change, evaluate your borrower’s ability to repay their obligations by stressing cash flow, interest rates, and more at any point.

Enterprise Risk Management Topics

Edit Content

ERM Systems

There are two main types of ERM systems: 

Integrated risk management systems: These systems offer a comprehensive view of all risks facing the organization. They integrate data from all risk management functions, such as lending, compliance, and audit. 

Best-of-breed risk management systems: These systems focus on a specific risk, such as credit risk or market risk. They offer a more detailed view of the risks facing the organization. 

 

The benefits of an ERM system

There are several benefits to an ERM system, including: 

A comprehensive view of all risks: ERM systems offer a comprehensive view of all risks facing the organization. This enables senior management to make informed decisions about how to allocate resources. 

Improved communication and collaboration: ERM systems can help break down silos between various risk management functions, such as lending, compliance, and audit. By doing so, they can achieve better communication and collaboration among these functions, which can make the institution’s risk management efforts more effective. 

More efficient and effective use of resources: ERM systems can streamline the risk management process by identifying duplication of effort and unnecessary steps. This can make resources more efficient and effective. 

Better informed decisions: Banks and credit unions can use ERM systems to provide well-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed.

#13 Key components of an ERM system

There are three key components of an ERM system: 

The data warehouse: The data warehouse stores data from all risk management functions, such as lending, compliance, and audit. 

The risk management application: The risk management application analyzes data from the data warehouse and produces reports. 

The user interface: The user interface enables users to view reports and interact with the risk management application.

The benefits of automated risk management

Several benefits can be derived from automated risk management, including: 

A vast improvement over manual systems, which are often slow and prone to errors, automated risk management systems can analyze data quickly and accurately. 

Automated risk management systems can help reduce the costs associated with risk management. By automating many risk management tasks, such as data gathering and analysis, banks and credit unions can save money and time. 

Automated risk management systems can enhance the efficiency of the risk management process. In order to gain more time for more critical tasks, like developing risk mitigation strategies, banks and credit unions can automate repetitive tasks, such as data gathering and analysis. 

Banks and credit unions can use automated risk management systems to provide better-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed. These systems can assist them in making better-informed decisions since they analyze data from multiple sources.

Edit Content

ERM Systems

There are two main types of ERM systems: 

Integrated risk management systems: These systems offer a comprehensive view of all risks facing the organization. They integrate data from all risk management functions, such as lending, compliance, and audit. 

Best-of-breed risk management systems: These systems focus on a specific risk, such as credit risk or market risk. They offer a more detailed view of the risks facing the organization. 

 

The benefits of an ERM system

There are several benefits to an ERM system, including: 

A comprehensive view of all risks: ERM systems offer a comprehensive view of all risks facing the organization. This enables senior management to make informed decisions about how to allocate resources. 

Improved communication and collaboration: ERM systems can help break down silos between various risk management functions, such as lending, compliance, and audit. By doing so, they can achieve better communication and collaboration among these functions, which can make the institution’s risk management efforts more effective. 

More efficient and effective use of resources: ERM systems can streamline the risk management process by identifying duplication of effort and unnecessary steps. This can make resources more efficient and effective. 

Better informed decisions: Banks and credit unions can use ERM systems to provide well-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed.

#13 Key components of an ERM system

There are three key components of an ERM system: 

The data warehouse: The data warehouse stores data from all risk management functions, such as lending, compliance, and audit. 

The risk management application: The risk management application analyzes data from the data warehouse and produces reports. 

The user interface: The user interface enables users to view reports and interact with the risk management application.

The benefits of automated risk management

Several benefits can be derived from automated risk management, including: 

A vast improvement over manual systems, which are often slow and prone to errors, automated risk management systems can analyze data quickly and accurately. 

Automated risk management systems can help reduce the costs associated with risk management. By automating many risk management tasks, such as data gathering and analysis, banks and credit unions can save money and time. 

Automated risk management systems can enhance the efficiency of the risk management process. In order to gain more time for more critical tasks, like developing risk mitigation strategies, banks and credit unions can automate repetitive tasks, such as data gathering and analysis. 

Banks and credit unions can use automated risk management systems to provide better-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed. These systems can assist them in making better-informed decisions since they analyze data from multiple sources.

Edit Content

ERM Systems

There are two main types of ERM systems: 

Integrated risk management systems: These systems offer a comprehensive view of all risks facing the organization. They integrate data from all risk management functions, such as lending, compliance, and audit. 

Best-of-breed risk management systems: These systems focus on a specific risk, such as credit risk or market risk. They offer a more detailed view of the risks facing the organization. 

 

The benefits of an ERM system

There are several benefits to an ERM system, including: 

A comprehensive view of all risks: ERM systems offer a comprehensive view of all risks facing the organization. This enables senior management to make informed decisions about how to allocate resources. 

Improved communication and collaboration: ERM systems can help break down silos between various risk management functions, such as lending, compliance, and audit. By doing so, they can achieve better communication and collaboration among these functions, which can make the institution’s risk management efforts more effective. 

More efficient and effective use of resources: ERM systems can streamline the risk management process by identifying duplication of effort and unnecessary steps. This can make resources more efficient and effective. 

Better informed decisions: Banks and credit unions can use ERM systems to provide well-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed.

#13 Key components of an ERM system

There are three key components of an ERM system: 

The data warehouse: The data warehouse stores data from all risk management functions, such as lending, compliance, and audit. 

The risk management application: The risk management application analyzes data from the data warehouse and produces reports. 

The user interface: The user interface enables users to view reports and interact with the risk management application.

The benefits of automated risk management

Several benefits can be derived from automated risk management, including: 

A vast improvement over manual systems, which are often slow and prone to errors, automated risk management systems can analyze data quickly and accurately. 

Automated risk management systems can help reduce the costs associated with risk management. By automating many risk management tasks, such as data gathering and analysis, banks and credit unions can save money and time. 

Automated risk management systems can enhance the efficiency of the risk management process. In order to gain more time for more critical tasks, like developing risk mitigation strategies, banks and credit unions can automate repetitive tasks, such as data gathering and analysis. 

Banks and credit unions can use automated risk management systems to provide better-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed. These systems can assist them in making better-informed decisions since they analyze data from multiple sources.

Edit Content

ERM Systems

There are two main types of ERM systems: 

Integrated risk management systems: These systems offer a comprehensive view of all risks facing the organization. They integrate data from all risk management functions, such as lending, compliance, and audit. 

Best-of-breed risk management systems: These systems focus on a specific risk, such as credit risk or market risk. They offer a more detailed view of the risks facing the organization. 

 

The benefits of an ERM system

There are several benefits to an ERM system, including: 

A comprehensive view of all risks: ERM systems offer a comprehensive view of all risks facing the organization. This enables senior management to make informed decisions about how to allocate resources. 

Improved communication and collaboration: ERM systems can help break down silos between various risk management functions, such as lending, compliance, and audit. By doing so, they can achieve better communication and collaboration among these functions, which can make the institution’s risk management efforts more effective. 

More efficient and effective use of resources: ERM systems can streamline the risk management process by identifying duplication of effort and unnecessary steps. This can make resources more efficient and effective. 

Better informed decisions: Banks and credit unions can use ERM systems to provide well-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed.

#13 Key components of an ERM system

There are three key components of an ERM system: 

The data warehouse: The data warehouse stores data from all risk management functions, such as lending, compliance, and audit. 

The risk management application: The risk management application analyzes data from the data warehouse and produces reports. 

The user interface: The user interface enables users to view reports and interact with the risk management application.

The benefits of automated risk management

Several benefits can be derived from automated risk management, including: 

A vast improvement over manual systems, which are often slow and prone to errors, automated risk management systems can analyze data quickly and accurately. 

Automated risk management systems can help reduce the costs associated with risk management. By automating many risk management tasks, such as data gathering and analysis, banks and credit unions can save money and time. 

Automated risk management systems can enhance the efficiency of the risk management process. In order to gain more time for more critical tasks, like developing risk mitigation strategies, banks and credit unions can automate repetitive tasks, such as data gathering and analysis. 

Banks and credit unions can use automated risk management systems to provide better-informed decisions about how to allocate resources and improve their decision-making processes by analyzing data from multiple sources that would otherwise be missed. These systems can assist them in making better-informed decisions since they analyze data from multiple sources.

Edit Content

Vetting commercial loan origination software

When considering a commercial loan origination software solution, it’s important to thoroughly vet the software to ensure it meets the needs of your institution. Here are some key factors to consider when vetting commercial loan origination software:

 

Functionality: Make sure the software has the features and capabilities that you need to effectively manage risk and streamline the loan origination process. This may include features like automated credit risk analysis, portfolio monitoring, and compliance management.

 

Integration: Consider whether the software can integrate with other systems, such as accounting and CRM software, to more easily collect, organize, and analyze data from across the organization.

 

Scalability: Ensure that the software can scale to the size and volume of your institution and that it can handle the number of loans you process.

 

Compliance: Verify that the software is compliant with all relevant laws and regulations, such as the Community Reinvestment Act (CRA)

 

Support and Maintenance: Make sure that the software provider has a dedicated support team that can provide ongoing support and guidance to ensure you’re getting the most out of the software.

 

References: Speak to other banks or credit unions that have implemented the software, to get an idea about the software and its usability.

 

Customizability: Ensure that the software can be configured to align with your current practices and processes, and that you are able to create custom workflows and layouts as per your organizations needs.

 

By considering these factors, you can be more confident in your decision to select the right commercial loan origination software solution for your institution.

 

It’s important that the software solutions are a good fit for your organization’s needs and is able to streamline the loan origination process, integrate well with other systems, be compliant and be customizable as per the organization’s need.

Testimonials

See what our customers are saying!

Great experience . Excellent customer service . Quick response. Always try to find the way to solve your problems or concerns.

Yovana W. Credit Analyst

We love this program and have never regretted the purchase or implementation of it. Always finding additional ways to use it for many other things to scan other than loan documentation.

Amber A. AVP/LPM

The absolute best "pro" of Suntell is the customer service staff. I've worked with many customer service staff and these guys are the best. Doc imaging would be my favorite part of Suntell.

Delaina H. VP, Loan Services

    The future of risk management is automation.

    There’s no doubt that the future of risk management is automation. Financial institutions are increasingly using automated systems to quickly and accurately identify risks. Besides providing insight that would otherwise be missed, these systems are also making it easier for banks and credit unions to make more informed decisions regarding resource allocations. As data becomes increasingly critical to risk management, financial institutions will continue to invest in automated systems to improve their risk management capabilities. This is because data has become more critical to risk management.

    An enterprise risk management program can help banks and credit unions identify, assess, and manage risks related to their business operations more effectively. By taking a holistic view of all risks, senior management will allocate resources more efficiently. In addition, the ERM system can help break down silos between various risk management functions, such as lending, compliance, and audit, in order to improve communication and collaboration.

    The future of risk management is automation. With the help of innovative technologies, such as artificial intelligence and machine learning, banks and credit unions can more effectively identify and manage risks. Automated systems can quickly and accurately analyze data to identify risks and recommend ways to mitigate them. In addition, automated systems can help reduce the costs associated with risk management.