Quant Technology Engineer

Quant Technology Engineer - Commodities Risk Location: Juno Beach, FL Rate: $36-41/hr Duration: 8-month contract Schedule: Standard business hours Overview Join a high-performing Quant Technology team within a leading organization in the energy sector. This role focuses on modernizing commodity risk platforms by migrating legacy SAS-based models to Python, building scalable Databricks frameworks, and developing distributed risk analytics to support front-office risk functions. Key Responsibilities • Develop and scale Python/PySpark-based risk models in Databricks (e.g., VaR, PFE, scenario analysis) • Design and implement high-availability distributed systems and microservices • Support valuation and risk analytics for commodity products (power, gas, oil) • Apply modern software design patterns to enhance and optimize risk infrastructure • Write high-quality, maintainable, and well-documented production code Required Experience & Skills • Experience in front-office or middle-office development, ideally supporting commodity trading desks and derivatives risk analytics • Strong understanding of derivatives pricing, risk management, and market conventions • 5+ years of hands-on Python experience developing production-grade risk models and analytics • Advanced proficiency in Pandas, NumPy, and linear algebra for numerical and time-series analysis • Hands-on experience using Databricks and PySpark for distributed risk computations • Familiarity with AI-assisted coding tools • Strong understanding of distributed computing concepts (data partitioning, parallel processing, performance optimization) • Solid software engineering practices across the full SDLC • Ability to quickly understand and debug complex codebases • Strong analytical thinking and problem-solving skills Preferred Qualifications • Experience as a Quant or Quant Developer within commodities or energy trading • Familiarity with modern data platforms and architectures • Experience with strongly typed languages • Exposure to CTRM systems and/or SAS ...