prosource.it- Americas

prosource.it- Americas

Software Engineer - Core Strategist

Houston, Texas, United States

Sponsorship not specifiedDetected 51 days ago
PythonObject-Oriented ProgrammingAlgorithmsGitSQLAzureRESTscikit-learnPandasNumPyData AnalysisData ScienceData VisualizationStatisticsUX DesignStakeholder ManagementForecastingElectrical EngineeringProblem Solving

About the role

  • We are looking for a Software Engineer to join a Trading Analytics & Insights team supporting the Gas & Power Trading division at an Oil & Gas Major onsite in Houston through to the end of 2026. Trading Analytics & Insights organization comprises Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists. Linked by the common themes
  • of data, numerical algorithms and technology, the team seeks to add value to the business by providing new models, tradable insights, distinctive data sets and agile technology solutions that empower the Analyst community and advantage the commercial teams. The Core Strategist team provides direct technology support to analysts, worldwide. Located in each

Requirements

  • Demonstrated experience with Python programming for data analysis, including working knowledge of libraries such as `pandas`, `numpy`, and `Jupyter`.
  • Ability to write clean, highly reliable, production-ready, and efficient code for numerical and analytical tasks.
  • Working knowledge of SQL and relational database systems.
  • Familiarity with cloud computing concepts, preferably AWS.
  • Good understanding of web services, ability to integrate with REST APIs.
  • Bachelor's degree in computer science or a related technical field (e.g., Software Engineering, Electrical Engineering, Mathematics, Physics).

Skills

  • Familiarity with energy markets (e.g., oil, natural gas, low-carbon, LNG, or power).
  • Exposure to time series forecasting, econometrics, or optimization techniques.
  • Experience working with data science platforms such as Dataiku.
  • Interest in UX design and end-user-focused development.
  • Industry experience of large-scale data analysis and predictive modelling, preferably in an investment bank, hedge fund or energy major.
  • Familiarity with the scientific Python stack, including `scikit-learn`, `scipy`, and `statsmodels`.
  • Good stakeholder management skills
  • Trading Analytics & Insights organization comprises Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists.
  • Be held by the business as a technical authority and source of expert guidance to the analyst community.
  • Rigorously adhere to software development best practice for enterprise-grade applications.
  • Contribute to the shared proprietary model libraries for use by analysts globally.
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