Regulatory technology sector expands its horizons

In any financial industry around the world, there are number of different processes.

These processes need to be executed by abiding to rules and regulations in order get a desired output with minimum malfunctions. Such processes are known as regulatory processes. Regtech is simply the management of these regulatory processes using technology. Regtech makes use of modern technology like Artificial intelligence, Big data, Data mining to provide easy, cost effective and reliable regulatory solutions.  Regtech has become an important aspect in the finance domain as the extent of regulations is rising with more focus on data and reporting. Using technology like artificial intelligence, NLP, machine learning, Regtech is automating the processes which were first executed manually

Today regtech is considered as a subset of Fintech. There is a rapid rise in the Regtech family on timely basis. Each company offering or coming up with a new solution to the problem s related to compliance. Regtech universe is a universe of many such companies broadly classified categories according to their niche. Following are the different categories in the Regtech universe.

  • Regulatory reporting
  • Risk management
  • Identity management and control
  • Compliance
  • Transaction monitoring

Regulatory Reporting

Companies under this category usually do the reporting work of raw materials or operations carried out in financial institutions. Slowly these companies are moving towards automation of processes. By automating the operations and reporting in an organisation using data analytics, the outputs are more accurate. Also risks are reduced as there is no manual intervention.

Risk Management

Companies under this category use technologies like artificial intelligence and machine learning to manage risks. Automation is being implemented in order to reduce errors. Technology like predictive analysis is used to predict the risks in future and to take required measures to combat the risks.

Identity Management and Control

Companies use artificial intelligence and machine learning for verifying the identity of customers. Machine learning learns from the existing data base and with the help of Artificial intelligence based on factors like photo, signature etc it automatically verifies the identity of the customers.

Compliance

As mentioned before In any financial industry around the globe, there are number of different processes. These processes need to be executed by abiding to rules and regulations in order get a desired output with minimum malfunctions. Using automation, companies are taking all the efforts to comply and stay updated with regulatory standards.

Transaction Monitoring

Companies use AI to keep a track of all the consumer transactions. This maintains the integrity and mitigates risks. The transaction are safe and frauds like money laundering are curbed. With the help of machine learning the systems can predict the upcoming frauds and accordingly measures are taken to curb them.