DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. At DataVisor, we are working hard to find excellent web front-end engineers who can constantly challenge ourselves and surpass ourselves. We hope that candidates have a solid development foundation and broad front-end or full-stack development experience. Mature experience in front-end framework, early start-up technology company experience is preferred, we look forward to furthering communication with you! Responsibility: 1. Develop DataVisor user analysis interface, including data visualization and database interface functionality, and complete the development efficiently tasks; 2. Constantly participate in the development of the Web front-end, back-end development, API interface, etc. of the DataVisor big data analysis platform; 3. Focus on business, business goals, and exert self-creativity and productivity to achieve business needs. Requirements 1. Minimum two years of web development experience, proficient in HTML, CSS, Javascript, Typescript and other related knowledge 2. Minimum two years of experience in front-end frameworks (such as Angular, React), etc., experience in data visualization is preferred 3. Familiar with web testing framework, Java Selenium, experienced in write E2E test cases/test suites and Unit Test for frontend code, and also to be able to extend existing applications and have certain experience in performance tuning 4. Experienced in Java/Spring programming, familiar with Web back-end development, and big data analysis experience is preferred. 5. NodeJS server-side development, database interface development experience, and SQL proficiency are preferred. 6. Proficiency in using git, Jenkins and other tools 7. Good English reading and writing skills, good at communication 8. B.S is required Benefits We offer a flexible schedule with competitive pay, equity participation and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world class team.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Requirements: 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

What you'll do: Design and build machine learning systems that process data sets from the world’s largest consumer services Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters Build and optimize systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Requirement: 1:5+ years software development experience 2:5+ years experience in Java, Shell, Python development 3:Excellent knowledge of Relational Databases, SQL and ORM 4:technologies (JPA2, Hibernate) is a plus 5:Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. 6:Experience in the Spring Framework is a plus 7:Experience with test-driven development is a plus

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! The software engineer - infrastructure team is the backbone of DataVisor. Without our distributed and highly robust systems, business would stop. We tackle important challenges: clients require sub-second response times while we find relationships in terabytes of data. We’ve created, and continually improve, our massive cluster infrastructure, allowing highly computationally expensive jobs to run smoothly. We love using and learning a 2+ years experience with infrastructure software engineering or production system operation experiences 2+ years experience with Amazon Web Services or other cloud service providers Strong understanding of the Linux environment and systems configurations Experience with Java and Python Experience with Kubernetes, docker Has basic knowledge about networking Open to work remotely Experience with Apache Spark, Cassandra, Flink Experience with Grafana, Loki, ELK

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space. What you'll do: Design and build machine learning systems that process data sets from the world’s largest consumer services Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters Build and optimize systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Requirements： 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real-time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide a guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Summary: As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities. We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space. What you'll do: 1. Design and build machine learning systems that process data sets from the world’s largest consumer services 2. Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters 3. Build and optimize systems, tools, and validation strategies to support new features 4. Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Flink, Cassandra) to build large scale machine learning pipelines 5. Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) 6. Manage and coach team members Requirements: 5+ years of software development experience 5+ years of experience in Java/C++ development 1+ year of team management Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

1.负责万顺科技生态整体运营，负责各项营销活动、获客产品、用户转化等核心产品功能的整体规划和管理，对活动与产品的进度与质量负责。 2.负责万顺科技生态产品运营工作，包括产品功能优化、数据分析与预警监控，持续提升用户体验。 3.负责产品需求输出，包括市场调研、用户分析、原型设计、撰写产品方案及需求说明书等。 4.负责市场与竞品调研分析，收集行业发展趋势及竞品情报，输出分析报告。 5.负责培养团队新人，给新人制定培养计划并指导其工作，帮助新人成长。 任职要求; 1.本科及以上学历，5年及以上互联网行业产品工作经验。 2.具备优秀的商业意识、用户洞察及产品设计能力，对竞品及行业变化敏感度高。 3.具备较成熟的产品方法论，能够进行独立且深度的思考与分析，能够准确把握用户诉求。 4.思维逻辑性强，有较强的数据分析能力，能独立进行市场和客户调研、需求分析、产品设计与产品管理工作。 5.细心认真，执行力强，具备高度的责任感和很强的团队合作精神，有强大的心理素质和抗压能力。 6.有出行行业相关工作经验，或带过团队经验的优先。所学技术在业务领域变现，且需要高度的责任心。

岗位职责： 舆情监测与数据采集，数据处理与深度分析，报告撰写与可视化呈现，监测体系优化与协作支持。   岗位要求： 1、学历及工作背景要求：本科及以上学历，数据科学、统计学、新闻传播学、社会学、信息管理、市场营销、计算机等相关专业背景优先；具备1年以上数据监控、数据挖掘等相关工作经验。 2、熟悉网络媒体与社交媒体:舆情数据分析师需要了解各种网络媒体平台和社交媒体应用，比如微博、微信、知乎、小红书、抖音、快手等。熟悉平台使用方法，了解用户的交流方式和特点。 3、数据分析能力:舆情数据分析师需要具备良好的数据分析能力，能够从大量的数据中抽取有用信息，并进行分析和归纳，文字功底较强，具有一定的报告撰写经验。掌握数据分析工具和方法，如Excel、SPSS等。 4、舆情监测技巧:舆情数据分析师需要掌握舆情的监测方法和技巧，能够追踪网络上关于特定话题或事件的讨论和评论。熟悉各类网络监测工具，并学会运用工具进行舆情监测。 5、善于沟通和表达:有良好的沟通能力、高度的责任心和抗压能力，能适应突发舆情的紧急工作节奏，有强烈的学习欲望和良好的团队精神。

1.负责客户咨询的及时解答与问题处理，维护客户关系，提升客户满意度。 2.通过电话、邮件、在线工具等多渠道与客户保持高效沟通，挖掘客户需求。 3.协助制定产品推广方案，参与线上线下市场活动的策划与执行。 4.分析市场数据，优化推广策略，提升产品曝光度与转化率。 5.负责微信公众号的内容策划、编辑、发布及粉丝互动管理。 6.维护公司官网，定期更新内容，优化用户体验及SEO效果。 7.跟踪新媒体平台数据，输出分析报告并提出改进建议。 8.配合市场团队完成其他运营相关工作，如竞品调研、活动支持等。

岗位职责： 1、负责功能模块的项目需求分析、设计、开发，配合测试人员对产品需求进行测试； 2、主动发现问题，提出合理化建议，积极优化项目开发手段； 3、能独立处理和解决所负责的任务，及时解决生产上的系统问题； 4、负责核心代码编写，解决技术上的疑难问题； 任职要求 ： 1、有保险行业相关开发经验者优先，计算机或其他相关专业； 2、Java基础扎实，理解io，多线程，集合等基础框架，对jvm原理有一定的了解； 3、用过的开源框架能了解它的原理和机制； 精通主流开源应用框架，如Spring，SpingBoot，SpringMVC、myBatis、XML、JSON、Maven等开发技术、熟练使用MySQL，以及相应数据库调优、SQL优化； 4、熟悉linux，Oracle； 5、熟悉分布式系统的设计和应用，熟悉分布式、缓存、消息等机制； 6、掌握多线程及高性能的设计与编码及性能调优，有高并发应用开发经验优先； 7、具有较好的文档编写能力、有很强的学习能力，工作主动性强，耐心细致，责任心强；能承受一定压力，有良好的沟通协调能力与团队合作精神；

岗位职责： 1.负责保险产品App的开发发、架构设计、高质量交付、维护及技术文档编写； 2.负责快速解决开发过程及生产使用中存在的各种问题，提升产品客户满意度； 3.关注调研业内前沿技术，优化现有技术架构\组件，确保公司产品技术领先性。 岗位要求： 1.本科学历及以上，计算机或软件工程相关专业，熟悉常见的数据结构和算法； 2.3年以上Android客户端开发经验，在过往就职经历中担任过核心开发角色； 3.精通Android SDK，熟练掌握Android源码，熟悉安卓生态三方库及各类组件； 4.熟悉Kotlin、JNI，熟悉复用性架构与跨平台框架，具备Flutter项目经验； 5.具备Java基础，熟悉UI、自定义View、Framework、多线程、网络编程等; 5.熟悉面向对象设计、MVVM架构模式及常用设计模式，熟悉JetPack、EventBus； 6.熟练使用Adb/Gradle/Maven/Git，熟悉APK打包、混淆、签名、加固等过程； 7.具备写单元测试、自动化测试、性能分析能力，能够深层次的代码/性能调优； 8.有良好的编程习惯和编码风格，代码结构清晰，有较强的逻辑思维和主动学习能力； 9.有较强沟通及理解能力，执行力及抗压能力强，有良好的团队合作意识及责任心。

1.招聘要求： 1)电子工程，计算机技术，数字信号处理，图像处理等相关专业，本科及以上学历； 2)具备良好的图像或信号理论基础，熟悉ccd/cmos图像采集及isp处理基本原理及流程，对ae，awb，af有一定研究者优先考虑； 3)熟悉c/c++及嵌入式软件开发，具有linux操作系统下软件开发经验，熟悉视频采集，编码方案，具有一定的前端摄像机硬件，及光学经验者优先； 4)具备良好的数学基础，能够熟练用matlab，python等软件进行算法仿真； 5)两年及以上图像处理，调试经验者优先； 6.对摄像机图像调试研究及开发有浓厚的兴趣及锲而不舍的精神. 2.岗位职责 1)负责摄像机的图像调优，努力使摄像机的图像质量达到或超越行业水平： 2)负责摄像机中ae，awb，af算法及isp算法的开发，维护及优化； 3)负责摄像机中平台开发，sensor对接等系统联调相关工作。

1.***本科级以上学历，计算机相关专业； 2.具备1年及以上软件开发相关经验； 3.精通winform、WEB后端及开发.NET开发架构；精通多线程开发；熟悉网络编程，精通TCP/IP、RTSP、SIP、HTTP、FTP一种以上； 4.有嵌入式Linux平台开发经验，熟悉C或QT跨平台开发技术； 5.熟悉关系数据库系统Oracle、MySQL、SQL SERVER，精通标准SQL语言； 6.熟悉面向对象设计、软件开发流程、设计模式、体系结构； 7.具备编写需求、设计、使用说明等常见软件工程文档能力； 8.具备良好的沟通表达能力、责任心和团队协作能力； 9.有MES、WMS开发经验或熟悉电子制造业生产工艺流程者优先； 10.薪资范围，根据面试情况来确定。

职位职责： 1、负责产品技术条线的风险运营管理，聚焦产品规则、功能及信息安全领域的风控合规；执行系统风险排查与日常风控数据分析，追踪异常并深入归因，输出专项分析报告； 2、基于已识别的风险点与产品问题，合理设计事中与事后监控规则及指标体系，推动问题闭环处理，并随业务发展与风险态势变化持续优化迭代； 3、承接并落实业务团队的合规需求，前置介入各类产品场景，提供合规建议与风险预判，提升各协作团队的风险防范意识； 4、熟悉生活服务类业务流程，能够协同业务合规、策略、产品、数据分析等多方团队，构建覆盖业务全流程、多场景的风险识别与治理闭环机制。 职位要求： 1、本科及以上学历，3-5年及以上的信息系统审计（ITAC、ITGC等）相关经验，拥有产品风控经验者优先； 2、熟悉产品开发测试至上线全流程，掌握信息安全与个人信息保护相关规范；具备基础代码能力，可解析、审计Python、Go、Java等语言的代码逻辑； 3、对数据高度敏感，能熟练运用SQL、BI等数据分析工具；具备优秀的数据分析、信息整合与风险洞察能力，善于从数据中提炼风险信号； 4、具备项目管理经验，拥有良好的团队协作与目标驱动意识，擅长跨部门沟通协调与资源整合。

岗位职责： 1、全面负责公司的财务规划、预算管理及执行监控，确保财务目标的达成； 2、优化财务流程，设计税务架构，为公司合规经营提供法律保障，提升财务管理效率和内部控制水平，防范财务风险； 3、财务报表的编制与分析，跨公司业务来往的税务规划，为高层决策提供税务法律依据； 4、协调与税务、审计、银行等外部机构的沟通，维护公司利益； 5、参与重大投资决策，进行税务风险评估与控制。 任职要求： 1、拥有财务、会计或相关专业本科及以上学历，持有中级会计师及以上资格证书； 2、5年以上财务管理经验，其中至少2年同岗位或相关高层管理经验； 3、精通国家财税法律法规，有财税法律背景优先； 4、具备出色跨公司沟通能力； 5、具备较强的分析判断能力和问题解决能力，能够在复杂环境中做出有效决策。