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Senior Quantitative Analyst

Pay
Pay not listedSimilar roles state $118K–$194K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build, validate and tune market, credit and liquidity risk models (VaR, PFE, EaR)

  • Develop valuation models for exotic products such as weather derivatives

  • Run scenario analyses and stress tests on adverse market conditions

  • Translate algorithms from other languages into Python implementations

  • Support trading system upgrades and integration with data warehouses

From the employer’s posting
Construct, validate, and fine-tune sophisticated risk models spanning market, credit, and liquidity risk segments (VaR, PFE, EaR, funding, and market liquidity)
Develop valuation models for exotic product validation, including weather derivatives and structured products
Undertake comprehensive scenario analyses and stress tests to gauge potential repercussions of adverse market conditions
Translate algorithms and codes from other languages into efficient Python implementations
Drive seamless integration with data warehouses and advanced data analytics frameworks

What you’ll bring

All qualifications

Preferred experience

  • Python programming excellence and automation opportunities
  • Bachelor's - Accounting / Finance
Qualification wording
Python programming excellence and automation opportunities
Bachelor's - Accounting / Finance
Education & alternatives
- 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 • Experience with energy commodity forecasting, simulation, and risk assessment tools • Background in LNG or power market analysis • Familiarity with regulatory frameworks and SOX compliance • Track record of model validation and implementation in production environments • Demonstrated passion for proactive risk management methodologies • Experience with Python-driven automation and system integration projects • AI champion What We're Looking For
Required Qualifications - Bachelor's Degree - Experience: 4+ years
Preferred Qualifications - Bachelor's - Accounting / Finance - Master's Degree
- Bachelor's - Accounting / Finance - Master's Degree - Doctorate - Business
- Master's Degree - Doctorate - Business NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.
Apply at NextEra Energy

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$194K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,768 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 56.

At NextEra Energy, jobs usually come down by about day 23.

From 10,412 similar postings that came down, and 47 of NextEra Energy’s. Coming down is not always a hire.

NextEra Energy is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down quickly
  • 33% of open jobs were reposted
Hiring record

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  • Python
Where the posting names them
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
- 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
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 • Experience with energy commodity forecasting, simulation, and risk assessment tools • Background in LNG or power market analysis • Familiarity with regulatory frameworks and SOX compliance • Track record of model validation and implementation in production environments • Demonstrated passion for proactive risk management methodologies • Experience with Python-driven automation and system integration projects • AI champion
- 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 • Experience with energy commodity forecasting, simulation, and risk assessment tools • Background in LNG or power market analysis • Familiarity with regulatory frameworks and SOX compliance • Track record of model validation and implementation in production environments • Demonstrated passion for proactive risk management methodologies • Experience with Python-driven automation and system integration projects • AI champion What We're Looking For
- Data analytics innovation, AI and proactive risk management approaches - Python programming excellence and automation opportunities - Collaborative frameworks that expand risk management influence

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About NextEra Energy

People
About 9,400 in 2025, up 1% from the year before.Annual report (SEC Form 10-K)
Company
Listed as NEE.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,818.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Requisition ID:  98566 

 

NextEra 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 NextEra 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 NextEra 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 • Experience with energy commodity forecasting, simulation, and risk assessment tools • Background in LNG or power market analysis • Familiarity with regulatory frameworks and SOX compliance • Track record of model validation and implementation in production environments • Demonstrated passion for proactive risk management methodologies • Experience with Python-driven automation and system integration projects • AI champion

 

 

What We're Looking For

 

The ideal candidate will be enthusiastic about:

  • Trading system transformation and modernization initiatives
  • Integration projects spanning multiple systems and data warehouses
  • Data analytics innovation, AI and proactive risk management approaches
  • Python programming excellence and automation opportunities
  • Collaborative frameworks that expand risk management influence

Join our team and help shape the future of proactive risk management in the energy sector, where your expertise will drive strategic decisions, establish new standards of excellence, and lead transformative system integration initiatives.

Job Overview

Employees in this role develop models, price energy derivatives, design and perform quantitative studies and analyses of spot/forward prices and volatilities for making pricing, trading, and risk management decisions. This position assists in the development of core algorithms and models to support trading, origination, and asset optimization decisions.

Job Duties & Responsibilities

  • Develops and improves upon mathematical models and translates algorithms into code
  • Works with origination, risk management and trading to interpret valuations provided by models and responds to intra-day trading requests to price and evaluate structured transactions
  • Assists development of energy price forecast, forward curve, and volatility models
  • Designs and constructs risk management tools used in evaluating company's risk profile and exposure levels
  • Performs other job-related duties as assigned

Required Qualifications

  • Bachelor's Degree
  • Experience: 4+ years

Preferred Qualifications

  • Bachelor's - Accounting / Finance
  • Master's Degree
  • Doctorate - Business

 

 

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

 

Employee Group:  Exempt
Employee Type:  Full Time
Job Category:  Finance, Accounting & Business Analytics
Organization:  NextEra Energy Marketing, LLC 
Relocation Provided:  Yes, if applicable

 

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. 

 

NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you. 

 

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

 

NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.

 

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Juno Beach, FL, US, 33408

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