Possible locations
  • Cracow
  • Warsaw
  • Wroclaw
  • Lublin
  • Rzeszow
  • Pila
  • Bydgoszcz
  • Gdansk
  • Poznan
  • Lodz
  • Katowice
  • Czestochowa
  • Gliwice
  • Bialystok
  • Remote work
Technologies & tools

Must have:

  • Python
  • OOP
  • UnitTest
  • NumPy
  • Spark
  • Ray
  • Git
  • SciPy
  • Probabilistic programming
  • Metaprogramming

Nice-to-have:

  • DataBricks

Join the team that develops innovative risk measurement methods in the area of cybersecurity.

The goal is to build an AI-based system that intelligently simulates a hacker attack and predicts threat pathways.

You will work with four quantitative developers to find out how accurately our security controls are to measure and how well they protect your bank from attack.

Your role

  • Discussions around defining the proper architecture of the solution
  • Refactoring of the prototype based on the decisions taken
  • Development of numerical and unit tests and applying the best practices to ensure the product matches the highest market standards
  • Numerical optimization of the code as well ensuring the product is extensible to other enterprise risk domains

Your skills
  • Minimum 6 years of professional experience
  • Scientific curiosity and problem-solving attitude
  • Experience in developing complex numerical simulations and algorithms in Python
  • Experience with code profiling and optimization
  • Interest in probabilistic programming and reinforcement learning, any previous experience would be a value-added
  • Fluent English (minimum at B2 level)

Job no. 211028-FHCRU

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