Quantitative Developer Job at Confidential, Pittsburgh, PA

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  • Confidential
  • Pittsburgh, PA

Job Description

Quantitative Developer

We are looking for a Quantitative Developer to join the natural gas trading group. You will join a team that is responsible for the effective creation, implementation, configuration, and maintenance of systems (software and environments) related to quantitative analysis, forecasting, and trading in the US Natural Gas Markets.

As a Quantitative Developer , you will:

  • Work to solve complex quantitative and technical problems in collaboration with a team of skilled quantitative researchers and traders.
  • Combine software development expertise with mathematical and optimization techniques to develop statistical and simulation-based models for forecasting.
  • Assist the traders with ad hoc market analysis / insights and create and maintain and forecast and pricing models
  • Work in an iterative and highly dynamic environment that encourages collaboration and continuous improvement.
  • Create and maintain systems that integrate structured and semi-structured data into robust models used for scenario analysis and probabilistic outcomes.

What We’re Looking For:

  • Experience with the physical modeling of natural gas markets and familiarity with trading and forecasting in the North American natural gas markets.
  • Degree in a technical discipline (e.g., Computer Science, Mathematics, Statistics, Physics, Economics, Engineering) or equivalent professional experience with progressive responsibilities.
  • Strong foundation in linear algebra, probability, and statistics. A working knowledge of machine learning techniques preferred.
  • Expertise in Python and related ecosystem (e.g., NumPy, Pandas, Numba, SciPy, Streamlit, etc.).
  • Competency in standard software engineering practices.
  • Proven ability to design and implement mathematical models and handle large, complex, and heterogenous datasets.
  • Demonstrated success in transforming research into actionable insights and analysis.
  • An emphasis on practicality and delivering working and robust systems.

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