Actively hiring
Financial Services
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People
Growth
Offices
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Financials
How Guokanezhengquangufenyouxiangongsi Banquansuoyou [ ShuICPbei09006579hao-3 Sikawashengtongxinguanriju] Kawagongwanganbei 51010502010523hao MotowangzhanzhichiIPV6fangwen hires
Truth index
C 62/100
Ghost roles
63%
Stale roles
0%
Reposted roles
0%
Guokanezhengquangufenyouxiangongsi Banquansuoyou [ ShuICPbei09006579hao-3 Sikawashengtongxinguanriju] Kawagongwanganbei 51010502010523hao MotowangzhanzhichiIPV6fangwen scores C on the Alion truth index (A is best, E worst), measured over 97 open roles re-checked against its own hiring board: 63% look like ghost listings, 0% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
全牌照、综合类券商,2014年与腾讯战略合作后,推出互联网证券服务产品佣金宝,以7x24小时网上开户、万2.5佣金炒股、闲置资金理财等创新服务受到认可。.
Tech stack
Technologies named in job postings at Guokanezhengquangufenyouxiangongsi Banquansuoyou [ ShuICPbei09006579hao-3 Sikawashengtongxinguanriju] Kawagongwanganbei 51010502010523hao MotowangzhanzhichiIPV6fangwen over the last 12 months, by layer, with the share of postings for each.
Technologies in use
55
Postings analysed
18
Stack modernity
86/100AI adopter
Languages
Python22%
SQL22%
Java22%
C++17%
Frameworks & libraries
LangChain11%
Ant Design6%
AutoGen6%
Hadoop6%
Databases
MySQL11%
PostgreSQL11%
Redis11%
Cloud & platforms
Apache Kafka6%
Figma6%
GitLab6%
Grafana6%
AI & ML
LLM17%
Qwen6%
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Full Guokanezhengquangufenyouxiangongsi Banquansuoyou [ ShuICPbei09006579hao-3 Sikawashengtongxinguanriju] Kawagongwanganbei 51010502010523hao MotowangzhanzhichiIPV6fangwen tech stack
55 technologies · by team · pay by technology · changes · similar stacks
People

Ranyun Gongsixinxi
法定代表人
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
28/100
Slowing
Open positions
97
0 opened / 0 closed in 30 days
ATS activity
Every ~3 hours
10/17/2026
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Early Careers
50% ▼
Data Science
8% ▼
Product
8% ▲
Legal
6% ▲
Management
6% ▼
AI/ML
3% ▲
Actively hiring for Early Careers (+6 in 30 days)
Offices
Where the company hires and what each office is for
Cities
12
Hiring now
12
Countries
1
Busiest office
Chengdu
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Headquarters
Builds here
Office with open vacancies
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Chengdu
China
HQ
5 open roles 4 posted in 90 days 40% engineering
hires for Early Careers, DevOps, Networking
Shanghai
China
Regional office
69 open roles 19 posted in 90 days 23% engineering
hires for Early Careers, Backend, Data Science
Beijing
China
Regional office
10 open roles 7 posted in 90 days 20% engineering
hires for Early Careers, Backend, Networking
Shenzhen
China
2 open roles 1 posted in 90 days
hires for Early Careers
Chongqing
China
1 open roles
hires for Early Careers
Nanchang
China
1 open roles 1 posted in 90 days
hires for Early Careers
Xi'an
China
1 open roles
hires for Early Careers
Xiamen
China
1 open roles
hires for Early Careers
Ningbo
China
1 open roles 1 posted in 90 days
hires for Early Careers
Zhuzhou
China
1 open roles 1 posted in 90 days
hires for Early Careers
Nanning
China
1 open roles 100% engineering
hires for Networking
Panzhihua
China
1 open roles 100% engineering
hires for Networking
Jobs
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≈ $22k – $65k per year (Estimated) • In office • 2+ years exp • Shanghai
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≈ $16k – $43k per year (Estimated) • In office • 2+ years exp • Beijing
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≈ $16k – $43k per year (Estimated) • In office • 2+ years exp • Panzhihua
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≈ $16k – $43k per year (Estimated) • In office • 2+ years exp • Nanning
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≈ $16k – $43k per year (Estimated) • In office • 2+ years exp • Chengdu
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≈ $34k – $89k per year (Estimated) • In office • 5+ years exp • Shanghai
Greenplum
AI/ML
Hadoop
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