✦ Luna Orbit — Data & Analytics

Lead Quantitative Developer/Research Engineer

at Intercontinental Exchange

Unknown Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field
Category Data & Analytics

This role involves designing and deploying quantitative models and research platforms to support financial trading and risk management activities.

  • Design and deploy quantitative models
  • Develop pricing and calibration tools
  • Analyze large data sets
  • Explain model behavior
  • Document methods and results

Environment includes C++, Python, and advanced mathematical techniques for modeling, pricing, and risk analysis in finance.

The ideal candidate is a research engineer with a PhD or Master’s in a quantitative field, extensive experience in C++ and Python, and a strong background in mathematical modeling, pricing, and risk management within financial markets.

C++PythonMathematicsQuantitative modelingRisk management
Options pricing theoryData AnalyticsMachine LearningAsset classesPricing and calibration tools
C++PythonQuantitative librariesResearch platforms
C++PythonMathematicsStochastic processesProbability theoryNumerical methodsQuantitative modelingPricingRisk managementData analysis
C++PythonMathematicsStochastic processesProbability theoryNumerical methodsQuantitative modelingPricingRisk managementData analysis
analytical skillscommunicationproblem-solvingteam collaboration
Industry Finance/Financial Services
Job Function Quantitative research and model development in finance
C++PythonQuantitative modelsPricingRisk managementData analysisResearch platformsQuantitative librariesAsset classesCalibration toolsQuantitative modelingMathematics

Lack of experience in C++ and Python, No advanced degree in relevant fields, Limited experience in quantitative finance

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