Quant Technology Engineer Commodities Risk (onsite)

14574

• Quant Technology Engineer
• Commodities Risk (onsite)

•

Juno Beach, FL Start Date :

ASAP Type:

Temporary Project Estimated Duration :

12 months with possible extensions

Work Setting:

100% of the time at the Client's site. No telecommuting or remote work. This is a non-negotiable requirement from the client Only candidates able to relocate as required should apply to avoid removal from future consideration.

Required:

• Availability to work 100% of the time at the Client's site in Juno Beach, FL (required);
• Experience in front‑office or middle‑office development, preferably supporting commodity trading desks and derivatives risk analytics
• Experience with derivatives pricing, risk management, and market conventions
• Experience with Python developing production‑grade risk models and analytics, with deep proficiency in Pandas, NumPy, and linear‑algebra‑based computations for numerical and time‑series analysis (5+ years)
• Experience scaling risk models in Databricks using PySpark for distributed risk calculations.
• Experience with AI-assist coding tools
• Experience with distributed computing concepts, including data partitioning, parallel execution, and performance optimization.
• Software engineering experience
• Experience with

SDLC Preferred:

• Quant or Quant Development experience in Commodities/Energy
• Experience with modern data stacks
• Strongly typed languages, CTRM systems, SAS experience

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
• Collaborate with front/middle office traders and quantitative analysts to translate derivatives pricing models, risk methodologies, and market conventions into scalable, production-ready analytics.
• Optimize distributed computing workflows (data partitioning, parallel execution, performance tuning) and integrate AI-assisted coding tools within a rigorous SDLC framework (CI/CD, automated testing, version control). Why apply?
• Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
• Work with a great team of professionals and learn newest technologies and approaches;
• Enjoy our Client's wonderful campus with top-notch facilities for work and recreation;
• Benefit from multiple projects extensions;
• Receive support and advice from Vitaver consultants who are already working at our Client's site;
• Get extra cash by participating in Vitaver Successful Completion Bonus Program;
• Always get paid in full and on time.