✦ Luna Orbit — Data & Analytics

Senior Financial Engineer

at Intercontinental Exchange

Unknown Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Master's degree in Mathematics, Financial Engineering, Mathematical Finance, Computer Science or Finance
Category Data & Analytics

This role involves developing and validating quantitative analytic solutions on an analytics platform, focusing on fixed income and equity data, ensuring data integrity and supporting client deliverables.

  • Validate and ensure accuracy of quantitative measures
  • Oversee data production processes
  • Research and respond to client data inquiries
  • Create documentation for workflows
  • Implement process improvements

The technical environment includes SQL, Python, R, MATLAB, and financial reference data workflows, with a focus on data accuracy and process improvement.

The ideal candidate is a senior financial engineer with strong expertise in quantitative analysis, data validation, and experience with financial reference data. They should have advanced skills in SQL, Python, R, and MATLAB, and hold a CFA Level II or higher.

SQLPythonRMATLABData analysis
CFA Level IIAI-assisted development toolsGitHub CopilotCursorcloud platforms
SQLPythonRMATLABGitHub CopilotCursor
SQLPythonRMATLABFinancial EngineeringQuantitative AnalysisData analysisReference dataData workflows
SQLStructured Query LanguagePythonRMATLABMatlabFinancial EngineeringQuantitative AnalysisData analysisData validationData productionReference dataData workflows
analyticalcommunicationorganizationcollaborationproblem-solving

Required

CFA Level II

Preferred

CFA Level II or higher
Industry Fintech
Job Function Data analysis and validation for financial analytics platform
Senior Financial EngineerSQLPythonRMATLABFinancial EngineeringQuantitative AnalysisData analysisReference dataData workflowsData validationAI-assisted developmentGitHub CopilotCursorcloud platformsCFA Level II

No experience with SQL or data analysis tools, Lack of CFA Level II certification, No background in financial engineering, No experience with reference data workflows

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