Is the business of Great Wisdom Financial Exchange stable?

The business of Great Wisdom Financial Exchange is relatively stable. This company was established in December 2002. It has a long corporate history and is headquartered in Shanghai. Currently it has nearly a thousand employees. The company's core team has more than fifteen years of service experience in the financial information industry, so the customer side is also very stable. Great Wisdom Finance launched a wholly-owned subsidiary in 2011, and the main board was listed in October of that year. Listed on the market, the company is currently operating in good condition, and it is worthy of everyone to join the company or invest in products.

1. The main business of Great Wisdom Finance

Great Wisdom Finance mainly serves domestic custodian banks, fund companies, insurance asset management companies, etc., and provides them with financial database services, Financial data solutions, financial data cloud services, securities risk early warning systems, investment early warning database systems, etc.

Adhering to the concept of helping customers "create wealth", Great Wisdom Finance has designed and developed a series of financial data products, such as financial databases, financial information terminals, data customization and financial solutions, etc., to serve institutions Investors provide professional, accurate, timely and comprehensive financial information services to domestic and foreign banks, insurance, securities, funds, investment companies, trusts, universities, media and other institutions.

2. The recruitment positions of Great Wisdom Finance are as follows:

Artificial Intelligence Algorithm Engineer Job Responsibilities:

1. Follow up on the latest machine learning algorithms and promote new ones Application of algorithms in semantics, images, investment and other fields;

2. Improve existing machine learning algorithms;

3. Ability to independently design new algorithm models based on project requirements.

Financial data editing responsibilities:

1. Responsible for the collection of financial information from the company’s financial database;

2. Organize the collected data and conduct Deep processing;

3. Preliminary verification of the processed financial data;

4. Ensure the accuracy, timeliness and practicality of the data.

Data capture engineer:

1. Responsible for the analysis of web page data collection tasks and the design of collection solutions;

2. Complete data analysis of various web pages , extraction and storage-related development and configuration work;

3. Daily resource optimization of the data capture program, adjusting the capture strategy, and improving efficiency;

4. Subsequent expansion of the system Software testing and management work, etc.