Senior Energy Risk Quantitative Analyst

Florida Power & Light

Juno Beach (FL)

On-site

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

NextEra Energy Marketing, LLC is seeking a quantitative risk management professional to build and refine models for market, credit, and liquidity risk across energy and commodity markets. The role emphasizes Python-based modeling, valuation of exotic products, and proactive risk assessment using AI-driven automation.

The ideal candidate will have 4+ years in quantitative risk, advanced Python, and a strong grasp of VaR, stress testing, and scenario analysis.

Qualifications

  • Bachelor's degree required.
  • 4+ years of experience in quantitative risk management.
  • Expert-level Python programming skills with experience in financial modeling libraries.
  • Proficient AI skills to automate processes using AI agents.
  • Strong understanding of risk methodologies (VaR, stress testing, scenario analysis).
  • Experience with exotic derivatives valuation and structured product modeling.

Responsibilities

  • Develop and validate risk models for market, credit, and liquidity risk components (VaR, EaR, PFE).
  • Translate algorithms into Python and develop valuation models for exotic products.
  • Lead scenario analyses and stress testing to assess adverse market impacts.
  • Integrate risk models with data warehouses and analytics platforms.
  • Mentor junior colleagues in quantitative best practices and Python programming.

Skills

Python programming
AI automation
VaR knowledge

Education

Bachelor's Degree
Master's Degree
Doctorate - Business

Job description

NextEra Energy Marketing, LLC is seeking a quantitative risk management professional to build and refine models for market, credit, and liquidity risk across energy and commodity markets. The role emphasizes Python-based modeling, valuation of exotic products, and proactive risk assessment using AI-driven automation.

The ideal candidate will have 4+ years in quantitative risk, advanced Python, and a strong grasp of VaR, stress testing, and scenario analysis.

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