NextEra Energy, Inc

We're in search of a highly skilled Quantitative Analyst to bolster our quantitative analytics team in trading risk management.. Model validation/improvement/development: Construct, validate, and fine-tune sophisticated risk models spanning market, credit and liquidity risk segments, e.g., VaR, PFE, EaR, funding and market liquidity. Valuation modeling for price verification and model validation purposes: Value exotic products, e.g., weather derivatives and construct/validate valuation inputs for structured products, e.g., full-requirements/load following deals, long-dated deals. Exposure to regulatory expectations and industry standards concerning risk management practices including model risk management. Experience with Energy Trading Risk Management systems

quantitative analyst

<p>Requisition ID: 76412</p>
<p>NextEra Energy Marketing is one of the nation's leading electricity and natural gas marketers. We are responsible for electricity and fuel management for all of NextEra Energy Resources' generation fleet, which includes the largest renewable energy portfolio in North America. We also provide marketing and trading services to electric and gas utilities, municipalities, cooperatives and other load-serving entities, as well as to owners of electric generation facilities. Are you interested in customizing power and gas solutions to meet each client's needs? Join our world-class team today!</p>
<p>Position Specific Description</p>
<p>We're in search of a highly skilled Quantitative Analyst to bolster our quantitative analytics team in trading risk management. The role will encompass validating, crafting, deploying quantitative models that assess risks intrinsic to energy and commodity markets.</p>
<h3>Responsibilities</h3>
<p>Model validation/improvement/development: Construct, validate, and fine-tune sophisticated risk models spanning market, credit and liquidity risk segments, e.g., VaR, PFE, EaR, funding and market liquidity</p>
<ul>
<li>Model implementation: Translate algorithms or codes in other languages into efficient Python codes</li>
<li>Valuation modeling for price verification and model validation purposes: Value exotic products, e.g., weather derivatives and construct/validate valuation inputs for structured products, e.g., full-requirements/load following deals, long-dated deals</li>
<li>Continuous Enhancement: Evolve and adapt risk models in response to shifting business strategies and dynamic market conditions</li>
<li>Scenario Exploration: Undertake comprehensive scenario analyses and stress tests to gauge potential repercussions of adverse market conditions</li>
<li>Collaboration: Work closely with cross-functional squads to guarantee seamless integration of risk models</li>
<li>High level of involvement in month-, quarter-, and year-end closing processes</li>
<li>Conform to SOX controls processes and innovate stronger controls</li>
<li>Mentor junior colleagues in best quantitative practices</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>Experience as a quantitative analyst or related roles in a trading environment, 4+ years</li>
<li>Advanced degree in a quantitative discipline such as Financial Engineering, Mathematics, or related science and engineering fields</li>
<li>Strong programming skills in languages such as Python or SAS for conducting quantitative analysis, 4+ years</li>
<li>Good knowledge in stochastic modeling, e.g., GBM</li>
<li>Good knowledge in Excel including pivot table</li>
<li>Good interpersonal communication skills</li>
<li>Exposure to regulatory expectations and industry standards concerning risk management practices including model risk management</li>
<li>Experience in the energy and commodity sector strongly preferred</li>
<li>Professional passionate about risk management</li>
</ul>
<h3>Preferences</h3>
<ul>
<li>Expert in Python programming and distributed computing</li>
<li>Experience with Energy Trading Risk Management systems</li>
</ul>
<p>Job Overview</p>

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