AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Bank of Beijing Tech Stack and Enterprise Applications

Bank of Beijing HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
In-House Applications Legacy In-House ATS Applicant Tracking System HCM n/a 2015 2015
In 2015 Bank of Beijing implemented an In-House ATS Applicant Tracking System on its website. The In-House ATS was embedded into the public careers pages to capture candidate applications and to provide a unified candidate experience through the bank's site. The deployment emphasized core Applicant Tracking System capabilities, including job requisition posting, candidate application intake, resume parsing, applicant workflow management, interview scheduling, and offer tracking. Configuration work prioritized career site form capture, application validation, and role based access controls for recruiters and hiring managers within the In-House ATS. Operational ownership was held by HR and talent acquisition teams, who used the In-House ATS to standardize screening workflows and maintain centralized candidate records. Governance was implemented through defined requisition approval flows, role permissions, and audit controls to align hiring processes across business units and ensure consistent applicant handling. The implementation focused on keeping applicant intake and career site interactions consolidated within the bank controlled environment, with the In-House ATS serving as the primary system of record for recruitment activity on the Bank of Beijing website.
Bank of Beijing Blockchain
Vendor
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VAR/SI
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Insight
ChainMaker Legacy ChainMaker Blockchain Platform Blockchain n/a 2022 2022
In 2022, Bank of Beijing implemented ChainMaker as a Blockchain Platform built on the Chang'an Chain technical foundation. The program leveraged business scenarios such as Jingxin Chain to gradually construct an interconnected, authentic, efficient and secure data network and to create an open banking ecosystem with shared business processes and coexistence of multiple business scenarios and multiple participants. The ChainMaker application was configured to deliver core Blockchain Platform capabilities, including a permissioned distributed ledger, smart contract orchestration for automated workflows, identity and access controls for participant authentication, and data provenance features to ensure transaction authenticity. Configuration emphasized concurrent scenario support so distinct supply chain finance workflows could operate alongside each other while enforcing common governance rules. Operational scope focused on supply chain finance for small and medium sized enterprises, connecting bank, supplier and buyer participants to enable shared transaction records and coordinated business processes. The implementation targeted business functions across trade finance and SME lending, and was designed to support cross participant settlement and information sharing while minimizing unnecessary data exposure. Governance was organized around consortium level controls and embedded process rules within the ChainMaker Blockchain Platform to manage participant onboarding, transaction validation and dispute workflows. The initiative was intended to provide financial services to small and medium sized enterprises in the supply chain, help the supply chain operate stably and smoothly, and support the high quality development of the real economy.
Bank of Beijing TRM
Vendor
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Application
Category
Market
VAR/SI
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Insight
Moodys Analytics Legacy Moodys RiskAuthority Risk Management TRM Jiangsu Hoperun Software 2016 2017
In 2016, Bank of Beijing implemented Moodys RiskAuthority as a Risk Management application to improve accuracy and timeliness of risk-weighted asset calculations and capital adequacy reporting for its finance, risk, and regulatory reporting processes in China. The engagement was executed with implementation partner Jiangsu Hoperun Software, and the deployment initiative was explicitly oriented to operationalize regulatory capital workflows across finance and risk teams. The implementation configured Moodys RiskAuthority to automate risk-weighted asset calculations and to standardize capital adequacy reporting workflows, aligning calculation engines and reporting templates with Chinese regulatory requirements. Configuration work focused on formalizing data validation, calculation logic, and scheduled reporting to increase automation of RWA and capital reporting processes. Operational coverage centered on finance, risk, and regulatory reporting functions within Bank of Beijing, with the programed workflows feeding statutory and internal capital reports. Governance changes included centralized ownership of RWA calculation rules and a structured rollout managed jointly by Bank of Beijing and Jiangsu Hoperun Software to ensure consistency across reporting lines. The project delivered clearer, more timely RWA and capital adequacy reporting and increased automation of RWA and capital reporting, and it produced cost savings as reported in the implementation announcement. Moodys RiskAuthority serves as the bank's Risk Management platform for statutory capital calculations and regulatory reporting orchestration.
Bank of Beijing CyberSecurity
Vendor
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VAR/SI
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Live
Insight
Security Information and Event Management (SIEM) CyberSecurity 2025 2025

IT Decision Makers and Key Stakeholders at Bank of Beijing

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Bank of Beijing Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Bank of Beijing IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Bank of Beijing digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Bank of Beijing Technographics
Bank of Beijing is a Banking and Financial Services organization based in China, with around 20138 employees and annual revenues of $9.70 billion.
Bank of Beijing operates a diverse technology stack with applications such as In-House ATS, ChainMaker and Moodys RiskAuthority, covering areas like Applicant Tracking System, Blockchain Platform and Risk Management.
Bank of Beijing has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as In-House Applications, ChainMaker and Moodys Analytics.
Bank of Beijing recently adopted applications including QAX SIEM in 2025, ChainMaker in 2022 and Moodys RiskAuthority in 2016, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Bank of Beijing’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Bank of Beijing’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Bank of Beijing technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.