Python Quant Developer

  • Hybrid
  • English
  • Banking
  • Senior
  • Agile/Scrum
Dodaj do koszyka POLEĆ KANDYDATA

Join us, and transform quantitative models into impactful solutions!

Krakow-based opportunity with the possibility to work 80% remotely!

As a Python Quant Developer,  you will be working for our client, a leading global financial institution renowned for developing advanced risk models to manage a wide range of financial and operational risks. You will join the Traded Risk Financial Engineering team, focusing on the development and maintenance of a quantitative library. This role involves collaborating closely with Quantitative Modellers, IT teams, and the Front Office to transform code into production-ready services and create synergies across departments.

Your main responsibilities:

  • Transforming code from quantitative teams into production-ready services
  • Developing a quantitative library in Python
  • Collaborating with GRA Quantitative Modellers, IT teams, and Front Office
  • Ensuring the robustness and reliability of risk models and methodologies
  • Enhancing enterprise-wide compliance with cutting-edge tools
  • Managing and optimizing the code repository for risk models
  • Implementing best practices in software development and deployment
  • Supporting the maintenance and updates of existing quantitative tools
  • Facilitating communication and collaboration across different functions
  • Providing technical support and guidance to team members

You’re ideal for this role if you have:

  • Experience in enterprise development in Python or other languages such as C++/C, Java, C#, R, or MATLAB
  • Intermediate knowledge of Python 3
  • Understanding of software architectural patterns
  • Knowledge of the application development lifecycle
  • Familiarity with agile practices
  • Understanding of algorithms and data structures
  • Fluent English
  • Ability and flexibility to work in an international team

It is a strong plus if you have:

  • Experience with gRPC, Docker, Kubernetes (k8s), Google Cloud, or Apache Beam
  • Knowledge of data analysis libraries such as pandas and numpy
  • Experience with SQL and database management
  • Familiarity with cloud storage solutions like Amazon S3
  • Experience with continuous integration tools such as Jenkins and Nexus
  • Proficiency in developing interactive dashboards with Dash

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at

Internal number #5459


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