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Cailianshe News, August 20 (Reporter Peng Kefeng)The pressure of interest rate spread is lingering, and the layoffs of some banks have previously become a hot topic. So in the first half of 2024, did listed banks increase or reduce their staff?

Today, as of the time of writing by Cailianshe reporter, there areBank of Nanjing、Ping An Bank、Shanghai Pudong Development Bank、Shanghai Rural Commercial BankMany banks have released their 2024 semi-annual reports.Oriental FortuneAccording to Choice data, the reporter calculated that the number of staff reductions in the first half of the year for four banks, including Nanjing Bank, Ping An Bank, Pudong Development Bank, and Shanghai Rural Commercial Bank, reached 4,116. Currently, among the listed banks that have issued semi-annual reports, onlyBank of JiangsuA small increase of 28 people.

Since the semi-annual reports of the state-owned banks have not yet been disclosed, it is currently impossible to accurately judge the increase or decrease in the number of employees of the listed banks in the first half of the year. Cailianshe reporters noticed that the 2023 annual report showed that the number of employees of the six state-owned banks as a whole was still growing last year. The four major banks, including Bank of China, Construction Bank, Bank of Communications, and Postal Savings Bank, increased their staff significantly in 2023, which directly led to the total number of employees of the six major banks maintaining positive growth last year (about 20,000 people).

Two joint-stock banks reduced their staff by more than 1,000 people, and only one city commercial bank had a small increase in staff in the first half of the year

As a traditional employer, is the banking industry still expanding its recruitment this year? Judging from the latest semi-annual report, staff reduction is a more common phenomenon among banks that have disclosed data.

On July 31, Nanjing Bank was the first listed bank to release its 2024 semi-annual report. What is the latest number of employees in the first half of the year? Today, according to Fangdongfang Wealth Choice data, the total number of employees of Nanjing Bank in the first half of 2024 was 16,260, while the number at the end of 2023 was 16,342. This means that in the first half of this year, Nanjing Bank has a small reduction of 82 people.

In addition, Ping An Bank, Shanghai Pudong Development Bank, and Shanghai Rural Commercial Bank also reduced their staff in the first half of this year. According to data from Oriental Wealth Choice, Ping An Bank's latest total number of employees is 40,830, while the number at the end of 2023 is 43,119, a reduction of 2,289 people; Shanghai Pudong Development Bank's total number of employees in the first half of 2024 is 61,892, and the number at the end of 2023 is 63,582, a reduction of 1,690 people; Shanghai Rural Commercial Bank's latest total number of employees is 11,240, and the number at the end of last year was 11,295, a reduction of 55 people.

The reporter also noticed that compared with the obvious staff reduction of Nanjing Bank, Ping An Bank, Pudong Development Bank and other banks, Jiangsu Bank can be called a "contrarian". According to data from Oriental Wealth Choice, the latest total number of employees of Jiangsu Bank is 16,335, and the number was 16,307 at the end of last year, which means that Jiangsu Bank has slightly increased its staff by 28 this year.

According to data from Oriental Wealth Choice, a reporter from Cailianshe found that the four banks, including Nanjing Bank, Ping An Bank, Pudong Development Bank, and Shanghai Rural Commercial Bank, had a total staff reduction of 4,116 people in the first half of this year.

Ping An and Nanjing voiced their support for "financial technology empowerment" and Nanjing Bank is "exploring the integration of big models and business"

In the industry's view, the continuous development of financial technology has not only changed the traditional banking business model, but also saved a lot of human resources. The reporter noticed that according to the latest semi-annual report, Ping An Bank and Nanjing Bank both introduced the development of financial technology.

Ping An Bank stated in its semi-annual report that the bank continued to promote digital transformation of operations, improve operational efficiency, and upgrade operational risk management capabilities. In terms of customer service, the bank improved customer service efficiency by upgrading the intelligent cloud service platform and AI customer-facing capabilities; with the help of virtual digital people, the automation rate of operational review operations was about 49% at the end of June 2024, an increase of about 4 percentage points from the end of the previous year. In terms of business delivery, through digital means such as intelligent character recognition (ICR), the bank promoted the automation and intensification of operational operations. At the end of June, the digitalization rate of the centralized operation center increased to 92.3%.

In addition, Nanjing Bank stated in its semi-annual report that during the reporting period, the company focused on the overall scientific and technological work goal of "enhancing business operation value, reducing operation and management costs, enhancing customer satisfaction externally, and releasing employee productivity internally", and integrated the three major financial technology capabilities of "cloud, online, and intelligent" into the entire value chain of operation and management. Fully empower the operation and management of the entire bank. First, through the successful completion of the three new bus project groups, a full-process risk control system for credit business was established; second, a research platform was built to empower various business departments; third, the employee workbench project was accelerated, and a one-stop work platform for operators was provided in the first stage to gradually advance; fourth, the channel experience was optimized and the channel operation capabilities were improved; fifth, new technologies such as generative large models were actively explored and integrated with business scenarios, the AI ​​application scenario pool was enriched, and human-machine collaborative intelligent outbound calls were launched to improve the efficiency of reaching target customers.