Transaction Monitoring - What ? Why ? How ?

Rohit Grover
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what is transaction monitoring


Transaction monitoring is an essential tool for businesses to detect and prevent financial crimes, such as money laundering and terrorist financing. we'll explore what transaction monitoring is, why it's important, and how it works.


What is Transaction Monitoring?
What is transaction monitoring

Transaction monitoring is a process of reviewing and analysing financial transactions in real-time or near-real-time to identify suspicious activities. The process involves analysing financial transactions, such as wire transfers, credit card payments, and electronic fund transfers, to identify unusual or suspicious patterns of behaviour that could be indicative of money laundering or other financial crimes.



Why is Transaction Monitoring Important?

 

Transaction monitoring is essential for financial institutions and other businesses that deal with financial transactions. The main reasons why transaction monitoring is important are:


Compliance with Regulatory Requirements: Financial institutions are required by law to monitor their transactions and report suspicious activities to regulatory bodies such as the Financial Crimes Enforcement Network (FinCEN) and the Office of Foreign Assets Control (OFAC). 

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Protection against Financial Crimes: Transaction monitoring helps businesses to detect and prevent financial crimes, such as money laundering, terrorist financing, and fraud. It helps to identify suspicious transactions before they can be completed and allows businesses to take appropriate action to prevent the crime.


Protecting the Reputation of Businesses: Detecting and preventing financial crimes helps to protect the reputation of businesses. If a business is involved in money laundering or other financial crimes, it can damage the reputation of the business and lead to a loss of customers and investors.

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How Does Transaction Monitoring Work?

 

Transaction monitoring involves analysing financial transactions in real-time or near-real-time to identify unusual or suspicious patterns of behaviour. The process involves the following steps:


Data Collection: Financial transactions are collected from various sources, such as banks, credit card companies, and payment processors.

 Data Analysis: The collected data is analyzed using various tools, such as machine learning algorithms, to identify unusual or suspicious patterns of behaviour.

Risk Scoring: Each transaction is assigned a risk score based on the level of suspicion detected during the analysis.

 Alert Generation: If a transaction is identified as suspicious, an alert is generated, and the transaction is flagged for further investigation. 

Investigation: The flagged transaction is investigated further to determine if it is a legitimate transaction or a fraudulent one. This may involve contacting the customer or conducting additional due diligence.

Reporting: If the transaction is determined to be fraudulent or suspicious, a report is generated and submitted to the appropriate regulatory authorities.

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Who am I ?

 I'm an outcome-focused executive with an experience of more than 6 years in several projects related to data analysis, quality assurance, team management, investigations, complaints handling, operations, retail banking, and development banking. I'm currently working as SME Transaction Monitoring, MI Analyst and Financial Crime Analyst in a bank. I am a person who can transform a piece of information into a valuable document.






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