Quant Technology Engineer – Commodities Risk
About The Position
Quant Technology Engineer – Commodities Risk Join a high-performing Quant Technology team modernizing commodity risk platforms. You will migrate legacy SAS-based risk models to Python, build scalable Databricks-based frameworks, and develop distributed risk analytics supporting the risk team. Responsibilities Build and scale Python/PySpark risk models in Databricks (VaR, PFE, scenarios) Develop high-availability distributed systems and microservices Support valuation and risk analytics for commodity products (power, gas, oil) Apply modern design patterns to continuously improve risk infrastructure Write high-quality, well-documented production code
Requirements
- Experience in front-office or middle-office development, preferably 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, with deep proficiency in Pandas, NumPy, and linear-algebra-based computations for numerical and time-series analysis
- Hands-on experience scaling risk models in Databricks using PySpark for distributed risk calculations
- Experience with AI-assisted coding tools
- Solid understanding of distributed computing concepts, including data partitioning, parallel execution, and performance optimization
- Strong software engineering discipline across the full SDLC
- Ability to quickly understand unfamiliar codebases and debug complex applications
- Solid critical thinking and troubleshooting skills
Nice To Haves
- Quant or Quant Dev experience in Commodities/Energy
- Familiarity with modern data stacks
- Experience with strongly typed languages, CTRM systems, and SAS
Responsibilities
- Build and scale Python/PySpark risk models in Databricks (VaR, PFE, scenarios)
- Develop high-availability distributed systems and microservices
- Support valuation and risk analytics for commodity products (power, gas, oil)
- Apply modern design patterns to continuously improve risk infrastructure
- Write high-quality, well-documented production code
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
