Senior Quant Risk Architect — Python & AI Focus

NextEra Energy, Inc.

Juno Beach (FL)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

NextEra Energy Marketing, LLC is seeking a Sr Quantitative Analyst to develop and validate sophisticated risk models across market, credit, and liquidity risk. The role emphasizes Python implementation, exotic derivatives valuation, and collaboration with risk owners to drive proactive decision-making.

The candidate will work within a fast-paced energy trading and risk management environment, contributing to scenario analyses, stress testing, and data-driven insights for strategic risk

Qualifications

  • Bachelor's Degree in a quantitative field.
  • 4+ years of experience in quantitative risk management.
  • Expert-level Python programming skills.
  • Experience with exotic derivatives valuation and structured products.
  • Knowledge of energy markets and power market fundamentals.
  • Ph.D. is a plus for advanced role responsibilities.

Responsibilities

  • Construct, validate, and fine-tune risk models across market, credit, and liquidity risk.
  • Translate algorithms into Python implementations for pricing and risk.
  • Develop valuation models for exotic products and weather derivatives.
  • Support risk governance, regulatory compliance, and SOX controls.
  • Collaborate with cross-functional teams to integrate risk models across platforms.

Skills

Python programming
Risk analysis
VaR
Stress testing
Energy markets

Education

Bachelor's Degree
Master's Degree
Doctorate - Business

Tools

Python

Job description

NextEra Energy Marketing, LLC is seeking a Sr Quantitative Analyst to develop and validate sophisticated risk models across market, credit, and liquidity risk. The role emphasizes Python implementation, exotic derivatives valuation, and collaboration with risk owners to drive proactive decision-making.

The candidate will work within a fast-paced energy trading and risk management environment, contributing to scenario analyses, stress testing, and data-driven insights for strategic risk

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