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Sr Quantitative Analyst

Job in Juno Beach, Palm Beach County, Florida, USA
Listing for: NextEra Energy, Inc.
Full Time position Listed on 2026-11-08
Job specializations:
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR

Job Description & How to Apply Below

Location: Juno Beach

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Sr Quantitative Analyst

Company: Next Era Energy

Requisition : 98566

Next Era Energy Marketing is one of the nation’s leading electricity and natural gas marketers, and a key player in the energy markets in the United States and Canada. As a part of Next Era Energy Resources, we specialize in innovative energy strategies that maximize market value for our customers and stakeholders. Our team is skilled in market analysis, trading, risk management and delivering tailored customer solutions across North America.

If you are a strategic thinker eager to make a significant impact in the fast-paced energy industry, join our team today.

Position Specific Description

Join Next Era Energy's Quantitative Risk Management team and be part of our
transformative risk vision
that elevates risk management as a strategic imperative for energy and commodity markets. We're building a proactive, collaborative risk assessment framework that drives informed decision-making and expands our influence across the organization through reliable analytics and excellence in daily execution.

Key Responsibilities

  • Model Innovation & Development:
    • Construct, validate, and fine-tune sophisticated risk models spanning market, credit, and liquidity risk segments (VaR, PFE, EaR, funding, and market liquidity)
    • Translate algorithms and codes from other languages into efficient Python implementations
    • Develop valuation models for exotic product validation, including weather derivatives and structured products
    • Participate in month-, quarter-, and year-end closing processes
  • Strategic Risk Assessment:
    • Evolve and adapt risk models in response to shifting business strategies and dynamic market conditions
    • Undertake comprehensive scenario analyses and stress tests to gauge potential repercussions of adverse market conditions
    • Support quarterly special topic discussions with risk owners to expand risk management influence
  • Systems Integration & Data Analytics:
    • Champion trading system transformation initiatives and integration projects across multiple platforms
    • Drive seamless integration with data warehouses and advanced data analytics frameworks
    • Support systems upgrades, implementations, and Trading Risk Management automation projects
  • Collaborative Excellence:
    • Work closely with cross-functional teams to ensure seamless integration of risk models and holistic risk management approach
    • Foster proactive risk management culture, moving beyond reactive approaches
  • Governance & Standards:
    • Conform to SOX controls processes and innovate control improvements
    • Foster a risk-aware culture, model high ethical standards, and champion company values of excellence, doing the right thing, and respect
    • Mentor junior colleagues in quantitative best practices and Python programming excellence

Preferred Qualifications

  • Advanced degree in Quantitative Finance, Operations Research, Financial Engineering, Applied Mathematics, Economics, or related field
    • 4+ years of experience in quantitative risk management, preferably in energy/commodity markets
    • Expert-level Python programming skills with experience in financial modeling libraries
    • Proficient AI skills to automate processes using AI agents and solid knowledge around MCP/LLM
    • Strong understanding of risk methodologies (VaR, stress testing, scenario analysis)
    • Experience with exotic derivatives valuation and structured product modeling
    • Knowledge of energy markets and power market fundamentals •
    Enthusiasm in risk management and proven experience for trading system transformation and multi-system integration projects
  • Ph.D. in Quantitative Finance, Operations Research, Financial Engineering, Applied Mathematics, Economics, or related field
    •…
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