Income Fund Risk Control

Risk control of income funds refers to the process of identifying, evaluating and controlling various risks in the inflow of income funds to ensure the safety of corporate funds. LongRiverTech Consulting recommends observing the regularity of transaction times. If the transaction times are irregular, big data will identify it and may be considered to be engaging in illegal activities, such as gambling or money laundering. LongRiverTech Consulting recommends controlling the number and amount of transactions. If the number of transactions and the amount are large, big data will also identify it, and it may be considered that a personal payment code is used to collect payment from the company. LongRiverTech Consulting recommends strengthening internal training and awareness-raising to let employees understand the importance of financial security and master the operational specifications of financial security. In short, LongRiverTech Consulting believes that risk control of income funds is crucial to ensuring the safety of corporate funds. By identifying, evaluating and controlling various risks in the process of income capital inflow, the occurrence of capital losses and risk events can be effectively reduced.


LongRiverTech income fund risk control refers to the process of identifying, evaluating and controlling various risks in the inflow of income funds to ensure the safety of corporate funds.

Risk control of income funds refers to the process of identifying, evaluating and controlling various risks in the inflow of income funds to ensure the safety of corporate funds. The following are some key points for income risk control of LongRiverTech consulting funds:


1. Regularity of trading hours: LongRiverTech Consulting recommends observing the regularity of trading hours. If the trading hours are irregular, big data will identify it and may be considered to be engaging in illegal activities, such as gambling or money laundering.

2. Number and amount of transactions: LongRiverTech Consulting recommends controlling the number and amount of transactions. If the number and amount of transactions are large, big data will also identify it, and it may be considered that a personal payment code is used to collect payment from the company.

3. Match the collection code type to the actual scenario: LongRiverTech Consulting recommends ensuring that the collection code type matches the actual scenario. For example, do not use personal codes, bank collection codes, and these aggregate codes for online collections, which is easy Identified as suspicious transactions by big data.

4. Bank monitoring: LongRiverTech Consulting recommends that in daily transactions, banks will monitor transactions that accumulate more than 50,000 yuan or directly exceed 50,000 yuan at a time. The bank will transfer and view the account records corresponding to the transaction records, and check Then upload them to the test center for testing. If this happens frequently, the bank will list it as a main monitoring object in the future.

5. Anti-fraud technology: LongRiverTech Consulting recommends using anti-fraud technology, such as behavioral analysis, machine learning and artificial intelligence, to identify and prevent fraud.

6. Internal training and awareness raising: LongRiverTech Consulting recommends strengthening internal training and awareness raising so that employees understand the importance of financial security and master the operational specifications for financial security.

7. Continuous improvement: LongRiverTech Consulting recommends continuing to optimize the income capital risk control model and strategy based on business development and market changes to improve risk control efficiency and accuracy.

In short, LongRiverTech Consulting believes that risk control of income funds is crucial to ensuring the safety of corporate funds. By identifying, evaluating and controlling various risks in the process of income capital inflow, the occurrence of capital losses and risk events can be effectively reduced.

Recommends: