A Trust Company Partners with GBase to Drive Inclusive Finance Forward

The Central Financial Work Conference explicitly called for advancing “inclusive finance” as a key strategic priority, reflecting the people-centered philosophy of China’s financial sector. The State Council simultaneously issued the Implementation Opinions on Promoting High-Quality Development of Inclusive Finance, outlining the overall requirements for developing inclusive finance business.

A trust company has thoroughly implemented the CPC Central Committee and State Council’s strategic deployment of inclusive finance, fully leveraging its fintech strengths. It partnered with GBASE (General Data Technology) to independently develop an inclusive finance system on a secure and trusted computing environment, building an integrated platform that spans funding and asset sides and effectively supporting the sustained growth of inclusive finance business.

Key Challenges for Inclusive Finance Operations

Inclusive finance features small-value, high-frequency transactions serving a large customer base and requires 24/7 operations. This places high demands on system stability and processing efficiency, posing several challenges:

Timeliness and accuracy of multiple regulatory reports: The system must fulfill various reporting requirements—PBOC lending rates, anti-money laundering, PBOC asset management, EAST, and all-factor reports—each with distinct data fields. Reports are generally required to be completed and validated by T+1 day, making accurate and timely data processing and reporting a significant challenge.

High concurrency processing: Real-time interfaces demand high concurrency, typically exceeding 100 TPS. Operations such as credit limit inquiries, blacklist checks, and AML screenings often access multiple external systems or databases and can take longer to process. Maintaining interface throughput and efficiency under high concurrency is crucial.

Scalability: As the business scales, system access surges; achieving dynamic scalability becomes a critical issue.

Compatibility: The inclusive finance ecosystem requires integration with diverse partners—internet platforms for traffic, third-party payment providers, credit bureaus for risk decisions, and service providers for e-signature and data notarization. These partners vary widely in product types, interaction flows, and data structures. Rapid system integration with each party is key to business rollout and growth.

System Development Journey

1# Core accounting system design and development (Feb 2022 – Mar 2023)

Built the core accounting system, deployed a relational database, and constructed core functional modules supporting full-process business handling and automated operations.

2# External connectivity and risk management platform (Mar – May 2023)

Added external access capabilities on top of the core accounting system, reused the relational database, and enhanced risk models and rules to strengthen independent risk control, supporting ongoing ecosystem development.

3# Partner integration and continuous iteration (May – Nov 2023)

As the business scale and data volume kept growing, pressure on the system and relational database mounted. We continuously optimized database query performance—index optimization, query tuning, and partition table strategy adjustments—while adopting multi-threading to boost task execution efficiency.

4# Distributed database selection and ongoing iteration (Nov 2023 – Present)

As business continued to grow, the system and relational database approached their limits. We then assessed multiple distributed databases through comprehensive benchmark tests and ultimately selected GBase. Leveraging its features, we offloaded massive data processing for non-real-time business, optimized execution flows, and used multi-job parallelism and multi-threading to process huge datasets. Core data was aggregated, greatly improving processing and analytical query capabilities and breaking through the system’s massive-data bottleneck.

Self-Controlled Core Technology Drives Business Growth

1. Built an integrated platform spanning funding and asset sides, serving over 70 million customers and tangibly supporting the real economy.

While banks and consumer finance companies focus primarily on asset-side customer acquisition, risk control, and post-loan management, this trust company has established a production line from funding to asset side, achieving look-through management of every asset. It has created a standardized inclusive finance solution for trust companies that can be rapidly replicated and promoted.

2. Established a “scenario + technology + open” comprehensive inclusive finance service platform.

By partnering with top-tier internet platforms, the company fully harnesses fintech strengths to extend financial services beyond traditional banking reach, bringing inclusive finance to third- and fourth-tier cities and rural areas. Through innovative installment products, it offers zero-interest credit products to a broad customer base, truly practicing financial inclusivity and people-centered values, and empowering high-quality development of inclusive finance with technology.

3. Conducted a full-stack domestic computing practice with a homegrown MPP database at its core.

The inclusive finance system is built on a fully domestic technology stack: GBase 8a MPP Cluster database, Hygon CPUs, and Kylin V10 operating system. The system was independently designed and developed by the trust company, holds complete independent intellectual property rights, and has received a software copyright certificate from the National Copyright Administration. This achieves genuine end-to-end innovation and security from hardware to software.

4. Built a unified data model referencing the “One Report” regulatory approach to maximize data’s multiplier effect.

A unified data model and metrics based on data application scenarios enable “One Report” data applications. Data is opened and shared across the company, eliminating silos. We have established end-to-end processes for data deposit, consumption, and recycling, clarifying data ownership, trading rules, and privacy protection to ensure efficient data circulation. A tiered management strategy for hot, warm, and cold data has been implemented. Leveraging the underlying asset accounting data, an asset performance tag library has been built to perform attribution analysis, enabling dynamic adjustment and evaluation of risk models for improved effectiveness.