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SmartestEnergy

Quantitative Portfolio Manager

SmartestEnergy

. Develop, maintain, enhance, and utilize quantitative models and tools to estimate and manage risks embedded within the company's energy portfolio .

Posted 10/17/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $165,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in quantitative risk analytics and portfolio management within the energy sector, utilizing advanced modeling techniques and tools to assess and manage risks effectively. Proficient in programming languages and statistical methods to support trading and risk management activities.

Highest-signal resume keywords
Quantitative Risk AnalyticsPortfolio ManagementR ProgrammingPython ProgrammingStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quantitative FinanceRisk Measurement TechniquesTime Series ForecastingRegression ModelingMachine Learning TechniquesMonte Carlo SimulationOptimization MethodologiesFinancial Performance AnalysisHedge Effectiveness EvaluationRisk Metrics Calculation
Soft Skills
Analytical SkillsProblem-Solving SkillsEffective CommunicationAttention to DetailIntellectual Curiosity
Tools & Technologies
SQLExcelStatistical Modeling PackagesAutomated Reporting SolutionsStochastic Simulation Frameworks
Industry Keywords
US Energy MarketsCommodity MarketsISO MarketsPJMNYISOISO-NEERCOTEnergy Hedging StrategiesEnvironmental ProductsCapacity Markets

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Develop, maintain, enhance, and utilize quantitative models and tools to estimate and manage risks embedded within the company's energy portfolio
  • Support Trading and Risk Management activities through analyses of price and volume risk, hedge effectiveness, asset optimization, and financial performance
  • Model energy portfolios including retail power sales contracts, power and gas hedges, renewable asset PPAs, BESS, heat rate call options, and environmental products
  • Ensure portfolio positions are accurately captured, reconciled, and represented in valuation and risk measurement processes
  • Develop and maintain stochastic simulation frameworks to quantify portfolio risk and expected financial outcomes
  • Calibrate correlated risk factor models and model forward curve evolution and spot market dynamics
  • Analyze and forecast retail customer composition, consumption patterns, and load characteristics
  • Identify optimal hedge strategies and evaluate hedge performance, effectiveness, costs, and residual exposures
  • Calculate risk metrics including Gross Margin at Risk, Value at Risk, and Expected Shortfall
  • Evaluate portfolio sensitivities and tail-risk exposures under market and operational scenarios
  • Develop tools providing visibility into portfolio exposures and risk concentrations
  • Support structuring activities through analytical modeling and evaluate proposed customer transactions
  • Analyze regulatory and market structure changes affecting portfolio performance
  • Document, validate, and govern models; improve data quality and analytics processes
  • Develop scalable analytical tools and automated reporting solutions while maintaining model transparency and audit readiness

Requirements

What you’ll need
  • Bachelor's degree in Quantitative Finance, Engineering, Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline
  • Master's degree preferred
  • 3–7+ years of experience in US energy or commodity markets, including quantitative risk analytics, structuring, or portfolio management
  • Experience in electricity markets preferred
  • Familiarity with ISO markets such as PJM, NYISO, ISO-NE, or ERCOT preferred
  • Experience with portfolio risk measurement and calculation techniques
  • Proficiency with R, Python, SQL, and Excel
  • Experience with statistical modeling packages
  • Knowledge of quantitative finance, risk analytics, time series forecasting, regression modeling, machine learning techniques, Monte Carlo simulation, optimization methodologies, and forecasting methodologies
  • Understanding of forward and spot power markets, load-following power sales, energy hedging strategies, environmental products, load forecasting methodologies, capacity markets, and ancillary services
  • Strong analytical and problem-solving skills
  • Ability to translate complex quantitative findings into business recommendations
  • Attention to detail and intellectual curiosity
  • Commercial mindset
  • Effective communication and presentation skills
  • Ability to work independently and manage competing priorities