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At Blackrose, we develop state-of-the-art AI software that drives our trading and are looking for talented scientists who can research and build novel predictive technologies to solve challenging problems in data science and quantitative finance.


  • Design, develop and evaluate highly innovative models for predictive learning.

  • Use machine learning, data mining, and statistical techniques to create new, scalable solutions for challenging data-driven problems.

  • Analyze and extract relevant information from large amounts of financial and operational data to help automate and optimize trading processes.

  • Establish scalable, efficient, automated processes for high performance data analytics, model development, model validation, and model implementation.

  • Conduct basic research in statistics, computer science, algorithms, and information theory.


  • Research experience in a scientific or engineering discipline.

  • Strong analytical and mathematical skills.

  • Proficiency in Python programming in a Linux environment.

  • Comfort with a systems programming language such as C++ or Rust.

  • Financial experience is not required.