What are the recruitment requirements of Jinjiang Bank in 2020?

2020 China Industrial and Commercial Bank of China Fujian Branch campus recruitment Jinjiang post-Jinjiang branch-account manager post recruitment conditions are as follows:

First, the basic conditions?

Recruiters must be fresh graduates. ?

Fresh graduates of domestic universities must graduate before August 2020, and must obtain nationally recognized employment registration certificate, graduation certificate and degree certificate when reporting for duty.

Fresh graduates from overseas institutions must graduate from October 20 19 10 to August 2020, and obtain the following information when registering.

Get the diploma and degree certificate, as well as the diploma (degree certificate) certification issued by the Ministry of Education. ?

The graduation time of this year's graduates is subject to the signing time of graduation certificate. ?

Second, institutions and academic qualifications?

Domestic college graduates must have a bachelor's degree or above in full-time ordinary colleges and universities recruited by the state.

Graduates from overseas institutions must have a bachelor's degree or above from regular overseas institutions of higher learning. ?

Third, foreign language conditions?

1. English majors must pass CET-4 (above 425), or score above 630 in TOEFL IBT, or score above 75 in IELTS. ?

2. English majors should reach CET-4; Graduates majoring in minority languages and other foreign languages should pass other corresponding foreign language proficiency tests. ?

3. The above foreign language test scores and certificates must be within the validity period. ?

Fourth, professional conditions?

Not limited to majors?

5. Other conditions?

Strong interpersonal communication influence and pressure resistance, strong insight and sensitivity to market and customer needs. ?

6. What can be given priority?

Experience in marketing practice or club development during school is preferred. ?

Good at using statistical analysis languages such as R, Python and SAS for data analysis and mining is preferred.