What do we do?

BMQB.COM is an innovative wealth management platform based on the Internet, focusing on providing safe, convenient and high-yield financial products. The platform focuses on short and medium term high-quality financial services. At present, there are three financial services including fixed deposit plan, dividend plan and steady plan to meet users’ various financial needs, help users reasonably diversify their investment and realize wealth appreciation.

Product: Bemi wallet

Introduction to team members

The team members are professionals in the financial and Internet fields, from leading institutions in the industry. Bemi Wallet has obtained source capital A round of ten million financing, the investors include the CEO of several emerging billion dollar enterprises represented by Wang Xing, Zhang Yiming, BAT Qihu and other Internet giants.

Where we are

The office is located in Yongping Li, Hengshan Road, Shanghai, with a rich and beautiful atmosphere. Even the average appearance level of passers-by can dominate Shanghai Beach. The company exclusive large flat floor office, per capita office area of more than 15 square meters.

We can give it to you

  • Reasonable salary: 13-15 at the end of the year, commercial insurance, five insurances and housing fund, salary adjustment twice a year, lunch, snacks and afternoon tea included. The cooking aunt is so good that the average weight of my colleagues is steadily rising with the performance of the company.

  • Benefits: annual travel, annual physical, monthly Team Building, flexible schedule

  • Team: a group of helpful work mates who are kind and nice the rest of the time except for eating; The work atmosphere is open, easy to become unruly; People-oriented, promote efficient, can let people grow up quickly.

  • Prospect: covering mobile Internet + Internet finance, huge career space!





# Technical Challenges

Millions of high net worth users, hundreds of millions of capital flow, hundreds of millions of data volume, rapid growth of business scale, technical personnel directly shoulder the mission to ensure the safety of users’ funds, each line of code is valuable

  • Asset-oriented, we need to conduct data modeling of borrowers through big data analysis and machine learning to predict the default probability of borrowers
  • For users, we need to ensure correct accounts, high availability of the system, information security and user experience under the premise of rapid iteration of requirements

Our technology stack

Bemi Wallet is one of the few Internet finance companies in the industry that use Nodejs to do full stack development. We realize micro-service architecture in the way of DevOps. At present, more than half of our projects have done automatic management based on Docker cluster.

  • Backend: Nodejs, built on ES6/ES7/ES8+Babel, is far from callback hell and satisfies all fantasies about implementing full stack JS
  • Big front end: Native development has been deeply integrated with React/RN, Vue + Webpack and other technologies, ensuring engineering quality through hot repair and automated testing. How to strike a balance between native development and Hybrid App has always been the focus of the front end team
  • DevOps: Ansible as a basic management solution, based on Git + CI/CD + Docker Swarm for micro service management

In addition to technology, we use tools to improve efficiency wherever possible

  • All staff use Mac as development machine
  • Purchase Jetbrain IDE to enhance the development experience
  • Manage code based on Git Flow
  • Use Trello as a kanban for Scrum and as a communication tool within the company
  • Use a variety of robots + BearyChat to summarize real-time information and reduce interruptions

We encourage open source and give back to the Node community by helping vendors like Sesame Credit complete the Nodejs SDK


We need you now

Rear siege Lion (early, advanced) 15K-35K

Job Description:

  • The back-end core research and development of the financial platform with 100-million-level asset transfer
  • Financial platform architecture design and technology selection
  • Ensure the stability and correctness of platform services under large data volume

Job Requirements:

  • At least 3 years back-end development experience, proficient in at least one back-end language, including but not limited to Go, Java, C, C++, Python, Nodejs, Ruby, PHP
  • At least one on-line project development experience, experience in wire fault operation and debugging
  • Familiar with Web server administration and tuning such as Apache/Nginx
  • Familiar with the development, management and tuning of relational databases such as MySQL/MariaDB/Postgres
  • Familiar with Linux (CentOS/Ubuntu), able to work in Linux environment

Pluses:

  • Strong interest in finance and investment
  • Experience in high volume concurrent project development
  • Experience in financial product project development
  • Experience in large Nodejs projects
  • Maintaining a technical Blog or open source project (link)

Resume: [email protected]

Python Siege Lion 20K-35K

Job Description:

  • Responsible for the landing of data model, the real-time calculation from Rawdata to output, and the architecture, implementation and optimization of the whole process
  • According to the company’s business requirements, build scalable data warehouse, responsible for data model planning, design, implementation and optimization; Responsible for business data collection, cleaning, feature extraction
  • Responsible for ETL maintenance, diagnose, locate, analyze and debug faults in time to ensure accurate and stable data

Job Requirements:

  • Bachelor degree in computer science or related
  • At least 3 years working experience, at least 2 years Python development experience
  • Proficient in at least one database such as SQL, Mongodb, Hbase, etc
  • Familiar with data modeling and machine learning theory
  • Honest, practical and serious, cooperative spirit

Resume: [email protected]

Big data architect 35K or above


  • Participate in the design of risk control platform, establish anti-fraud rules and evaluation model
  • Responsible for the architecture design of big data risk control system, guide team members to carry out technical development, and participate in the selection and development of technical solutions as a core member
  • Rich experience in data analysis and modeling, able to draw conclusions in the fastest and easiest way to drive business


  • Bachelor degree or above in computer science or related field
  • At least 3 years experience in Internet industry
  • Familiar with C/Java/Python, have a deep understanding of data structure and algorithm design
  • Familiar with Spark/Hadoop, Cassandra/Hbase, Storm, Kafka and other big data processing tools or frameworks
  • Experience in large-scale data mining, machine learning, distributed computing and other practical projects


  • Experience in data mining or machine learning projects in the financial sector
  • Familiar with Caffee, Tensorflow and other mainstream machine learning frameworks, and have practical project experience

Resume: [email protected]

Data Engineer 15K-30K


  • Responsible for the design, development, validation and implementation of risk control models, including but not limited to credit scoring models, anti-fraud models
  • Coordinate with product, operation and system development departments to ensure normal model launch and routine maintenance
  • Responsible for model optimization according to product requirements and business scenarios





  • Bachelor degree or above, major in mathematics, statistics, physics and other related fields, good mathematical statistics foundation
  • Good command of one or two programming languages such as Python, R or SAS
  • At least 2 years modeling experience, financial risk control modeling experience is preferred
  • Familiar with logistic regression, decision tree and other algorithms, understand the basic theory of machine learning
  • Pragmatic, responsible, have the spirit of study. * Algorithm engineer: use machine learning to study the non-linear relationship between factors, etc

Resume: [email protected]

Quantitative researcher 18K to 30K


  • Clean/analyze/test data and build quantization factors
  • Read research reports and academic papers and program to implement their algorithms
  • Perform other business related research tasks


  • At least one year experience in Python
  • Familiar with MySQL/Postgre relational database
  • Good English literature reading ability
  • Can work in Linux environment


  • Experience in developing alpha factor models for overseas markets
  • There’s too much data

Resume: [email protected]

Algorithm engineer 18K-30K


  • Maintain and optimize the company’s factor base
  • The nonlinear relationship between factors is studied by machine learning
  • Optimize the company’s backtest platform to support massively parallel computing





  • Excellent programming skills, have a solid foundation of algorithms;
  • Solid mathematical skills, familiar with common algorithms in data mining and machine learning, good logical thinking ability;
  • Familiar with Linux environment and Python programming;
  • Have some understanding of machine learning algorithm optimization theory;





  • Strong interest in finance and investment

Resume: [email protected]


Welcome to recommend, detailed website: www.bmqb.com/jobs Email: [email protected] Contact tel: 021-60538366