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辽宁振兴银行股份有限公司 Tech Stack

Regional bank building anti-fraud and online lending capabilities

Banking 沈阳, 辽宁 11–50 employees

Liaoning Zhenxing Bank is a small banking operation (11–50 employees) headquartered in Shenyang, China, structured around compliance, risk, and product development. The tech stack—Python, Java, SQL, MySQL, Redis, TensorFlow, XGBoost, Random Forest—reflects active work on anti-fraud algorithms and risk modeling. The hiring mix (finance, engineering, ops, product, risk) and project list (online loan products, anti-fraud model iteration, business continuity assessment) signal a bank modernizing its core lending operations and regulatory posture under persistent compliance and data-reporting pressure.

Tech Stack 14 technologies

Core StackPython SAS MySQL Redis Java TensorFlow Word Excel PowerPoint R SQL Spring Cloud Random Forest XGBoost

What 辽宁振兴银行股份有限公司 Is Building

◆Challenges

Compliance with regulatory checks
Ensuring business continuity
Managing it outsourcing risk
Data reporting
Optimizing risk control processes
Performance optimization of online and batch functions
Risk perception improvement
Algorithm accuracy optimization
Online loan product development

▲Active Projects

Financial information database integration
Credit information security self-assessment
Annual business continuity assessment
It outsourcing risk management
Business continuity emergency plan
Develop risk control metrics and reports
Anti-fraud algorithm development
Anti-fraud model improvement
Scenario-based financial product development
Online loan product development

Hiring Activity

Minimal8 roles · 0 in 30d

Department

Finance

Engineering

Ops

Product

Risk

Seniority

Mid

Senior

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About 辽宁振兴银行股份有限公司

Liaoning Zhenxing Bank is a regional banking institution based in Shenyang, Liaoning Province, China. The organization operates with a lean structure across finance, engineering, operations, product, and risk functions. Core operational focus areas include online loan product development, anti-fraud algorithm development and refinement, IT outsourcing risk management, and regulatory compliance. The technology foundation—Python, Java, SQL, machine learning frameworks (TensorFlow, XGBoost, Random Forest)—supports internal risk modeling and data analytics. Active challenges include compliance with regulatory checks, business continuity management, IT outsourcing oversight, and optimization of risk control processes and reporting infrastructure.

Headquarters沈阳, 辽宁

Company Size11–50 employees

Hiring MarketsChina

Frequently Asked Questions

What technology does Liaoning Zhenxing Bank use?

Python, Java, SQL, MySQL, Redis, TensorFlow, XGBoost, Random Forest, SAS, R, Spring Cloud, and Microsoft Office tools. Stack reflects focus on data analytics, risk modeling, and backend systems.

What is Liaoning Zhenxing Bank working on?

Online loan product development, anti-fraud algorithm and model improvement, IT outsourcing risk management, business continuity assessment, and development of risk control metrics and reporting systems.