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Senior Quantitative Analyst, Trading

Stále hľadajú

ČEZ Trading

Duhová 425/1, Praha-Michle

Vzdialenosť od teba uvidíš po zadaní adresy vo výpise ponúk.


Úväzok

Práca na plný úväzok

Zmluva

Pracovná zmluva

Benefity

Cell phone, Educational courses, training, Holidays 5 weeks, Bonuses, Sick days, Flexible start/end of working hours, Soft loans to employees, Refreshments on workplace, Notebook, Contributions to the pension / life insurance, Cafeteria, Corporate preschool

Vzdelanie

Vysokoškolské II. stupňa

Jazyky

Angličtina (Pokročilá)

Zaradené

Banking industry and financial services, Electrical and power engineering, IS/IT: Consultations, analyses, and project management, Financial analyst, Investment specialist, Power engineer, Data scientist, Data analyst, Machine learning engineer


O pozícii

Join us and start your career in CEZ Group. We search for colleagues who will provide safe, reliable and clean energy to our customers as well as to society as a whole.

What will you do?

  • Design, implement, and maintain mathematical models for energy derivatives pricing, portfolio optimization and risk assessment
  • Process and analyze various datasets to identify market trends and provide inputs for trading strategies.
  • Cooperate with traders and market analysts on the identification of trading opportunities/testing the ideas
  • Develop and refine internal tools and libraries (typically in Python, R, or MATLAB) to automate recurring analytical tasks and reporting.
  • Act as a technical lead in discussions between analytical team, the trading desk, and risk departments to ensure model transparency and accuracy.

Skills you need to have:

  • A university degree in Mathematics, Physics, Statistics, or Econometric
  • At least 3–5 years of experience in quantitative analysis, ideally within energy trading, banking, or a similar financial environment.
  • Strong understanding of stochastic calculus, time-series analysis, and numerical methods (e.g., Monte Carlo simulations).
  • Ability to cooperate in a team
  • Knowledge of modelling weather/climate related processes advantageous

In case of interest in this position, please send us your CV and cover letter by means of the "APPLY" button.

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