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Cloud Platform

Cloud platform developed by Corplan helps navigate in the world of trading and investments in a most friendly way. Users can follow several stocks, specify signals, and apply models to generate the best scenario.

  • Compatible with all major operating systems.
  • Customizable application interface with various settings.
  • Preset parameters for machine learning engine.
  • Stock exchange integration for real-time stock quotes.
  • Filtering and screening lists of stocks for better results.

Cloud platform by Corplan offers functionality that encompasses all typical trading actions and provide value added services based on machine learning engine and data enhancement.

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Mobile App

The Mobile App offers excellent features for those who prefer trading with use of mobile devices, anytime, anywhere. Corplan enhances trading experience with state-of-the-art mobile technologies.

  • iOS and Android versions.
  • Adaptive screens and graphs.
  • Good Internet connectivity.
  • Different skins applicable.
  • Easy-to-use interface.

Corplan continues development and improvement of functionality in response to users requirements and feedback that we collect from early adopters.

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On-premise Solution

On-premise solution provide the core functionality of Corplan. It offers intelligent approach to trading decisions, suggests traders the best opportunities for profit-making buy/sell trades.

  • Extended financial models based on big statistical data.
  • Different machine learning scenarios.
  • Cross-functional features for setting dependenicies.
  • Regular and timely alerts on best conditions for buy/sell.
  • Extended reporting to analyze the most successful data models.

Machine learning includes the 'learning' kernel that is capable to process multi-dimensional, statistical data in seconds. The excellent oppotunity is to learn with each new trade.

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Cloud Platform

Cloud platform developed by Corplan helps navigate in the world of trading and investments in a most friendly way.

mobile application

Corplan offers excellent features for those who prefer trading with the use of mobile devices, anytime, anywhere.

On-premise Solution

On-premise Solution employs self-learning algorithms which makes it better and more accurate with each new trade.

We are hiring

"Shazam for trading", which recognizes market signals, purifies them and informs the trader on the most appropriate moment to buy or sell.
As a Senior Backend developer, you turn data science techniques into scalable new features, with a focus on robust distributed architecture. You will engage across disciplines to design and implement cutting-edge machine learning enhancements and infrastructure in Tradezam. Whether optimizing database query patterns, working on predictions tech, improving model tuning, designing storage structures necessary for new features, improving coding practices, or parallelizing code bottlenecks, you get it done while helping those you work with to be better developers.


The ideal candidate should bring new ideas from concept to implementation, write quality code, participate in design/development discussions, then translate architectural specs into working application design.


  • 5+ years of Python experience working in a large software system (not just web-dev)
  • ~3 years of experience developing distributed systems experience, ideally with some kind of architecture responsibilities, or designing component interfaces
  • In the interview process you will be evaluated on your performance in a number of coding test and design test scenarios - be prepared to think!
  • Some experience with data processing - Pandas - Numpy/Scipy - Scikit-learn - Spark - MLlib (

Desire Skills

  • Experience in some/all of these: - Messaging like ZMQ or RabbitMQ - API interface design and construction - Microservice/distributed systems design and construction - Persistent storage like Redis and MongoDB - Parallel Computing - Experience/understanding resource management services workflow (Hadoop/Yarn, Mesos, Kubernetes, AWS, OpenStack, Docker or any other). - Experience working on the JVM (Java, Scala) a plus - System/performance engineering (profiling process memory/cpu/io/network usage, system calls, flame graphs, jvm/python specific debugging instruments (pdb, visualvm, etc.))