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北京瑞天欣实数据科技有限公司 Tech Stack

Big-data risk control and decision platform for lending

IT Services and IT Consulting 北京市, 北京市 51–200 employees Founded 2015 Partnership

Reetian specializes in risk modeling and decisioning systems for small-loan and micro-credit products. The stack is classical big-data (Hadoop, Spark, Hive, HBase) layered with real-time messaging (Kafka, RabbitMQ) and a Java/Spring microservices backbone—shaped for stateful risk computation at scale. Active projects cluster around risk strategy optimization and decision platform development, while hiring focuses on data roles (12 open) over engineering (6), indicating a data-science-forward org building client-specific risk models rather than a platform-centric software play.

Tech Stack 26 technologies

Core StackSAS Python Java MySQL Oracle Hadoop Apache Spark Kafka Linux PostgreSQL Redis RabbitMQ Nginx SQL Spring Boot MyBatis Spring Cloud Dubbo DB2 Bash Spring MVC Memcached ActiveMQ HAProxy Hive HBase

What 北京瑞天欣实数据科技有限公司 Is Building

◆Challenges

Risk strategy optimization for small loans
Risk control process optimization
Gap evaluation
Evaluating industry gaps in risk control
Data governance
Risk policy adjustment
Risk market construction
Risk strategy design
Loan product risk management
Adjusting risk policies

▲Active Projects

Risk control process design for small micro loans
Client data analysis solution development
Decision platform development
Designing and optimizing risk strategy for small loan products
Risk control process training
Risk control process research and gap analysis
Data mart design
Intelligent decision product
Risk market construction
Project management for loan product development

Hiring Activity

Minimal25 roles · 0 in 30d

Department

Data

Engineering

Finance

Seniority

Mid

Senior

Lead

Intern

Manager

Notable leadership hires: Decision Platform Lead, Decision Platform Technical Lead

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About 北京瑞天欣实数据科技有限公司

Reetian develops big-data analytics, risk modeling, and intelligent decision platforms for Chinese financial institutions, with a specific focus on small-loan and micro-credit risk management. The company was founded in 2015 and operates from Beijing. Core competencies span data risk control (策略设计, process design, gap analysis), data marketing applications, and custom data modeling services. The product footprint includes risk strategy frameworks, decision platforms, and data mart architectures deployed on a Hadoop/Spark/Hive backend. Active projects show heavy investment in loan-product risk optimization, process training, and market construction.

Headquarters北京市, 北京市

Company Size51–200 employees

Founded2015

Hiring MarketsChina

Frequently Asked Questions

What technology stack does Reetian use?

Reetian uses SAS, Python, Java, Spring Boot, MySQL, Oracle, Hadoop, Apache Spark, Kafka, Hive, HBase, and Redis. The architecture emphasizes big-data processing (Hadoop/Spark/Hive) with real-time messaging (Kafka, RabbitMQ) and Java microservices (Spring Cloud, Dubbo).

What is Reetian working on?

Current projects focus on risk control systems for small loans, decision platform development, risk strategy design and optimization, data mart design, and intelligent decision products. The company also conducts risk process training and gap analysis for clients.