Data Analyst (K/M)

Neontri is a company with over 120 employees specializing in creating systems primarily for the financial, banking, fin-tech, and e-commerce sectors. They develop new functionalities or build systems from scratch and support clients in recruiting specialists through bodyleasing. The company handles large, complex long-term projects used by millions of users daily.

• Practical knowledge of Collateral Management.
• Experience in building, validating, and maintaining quantitative models, including predictive and risk models (e.g. VaR).
• Good knowledge of time series analysis and market data.
• Very good knowledge of statistics and probability theory.
• Very good knowledge of Python and libraries pandas, NumPy, scikit-learn.
• Experience in model calibration, backtesting, and quality assessment.
• Good knowledge of SQL and experience working with large datasets.

Nice to have:

• Experience in finance, especially risk management, trading, portfolio management, or treasury.
• Knowledge of machine learning methods and experience with TensorFlow and/or PyTorch.
• Experience working with Bloomberg/Calypso.

• Implement a new Collateral Management system in the banking sector.
• Build, validate, and maintain quantitative, predictive, and risk models.
• Analyze time series and market data.
• Collaborate within a team on a long-term project.
• Work in a hybrid mode with one day per month in office (Warsaw, Wrocław, or Poznań).