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Summer Quantitative Analyst Intern

Five Dimensions Energy LLC
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At Five Dimensions Energy, quantitative innovation drives our trading, research, and investment strategies. We are seeking a Quantitative Analyst Intern to join our Quantitative Research and Trading team.

This role is designed for students with strong technical and analytical backgrounds who are passionate about applying advanced modeling, coding, and data science techniques to real-world financial and energy markets. As a Quantitative Analyst intern, you will work closely with experienced traders and researchers to support projects across power and commodity trading and research, and equity research and portfolio management. This is a unique opportunity to gain deep insights into the fast-paced energy trading industry while developing valuable skills in market fundamentals, risk management, and strategy execution.

 

Experience Level: Summer Internship
Start Date: June 15, 2026
Duration: 10 weeks, full-time

Application Deadline: Feb 13, 2026

Key Responsibilities:

  • Model Development: Design, test, and enhance quantitative models for forecasting, valuation, and risk management across multiple asset classes.
  • Data Science & Automation: Develop tools and pipelines for large-scale data ingestion, transformation, and analysis using Python, SQL, and cloud-based frameworks.
  • Statistical & Machine Learning Analysis: Apply econometric, time-series, and ML techniques to identify market signals and improve predictive performance.
  • Cross-Market Research: Conduct quantitative research on energy, commodity, and equity markets to support trading and portfolio management teams.
  • Performance Analytics: Evaluate and back-test trading strategies and analyze key drivers of portfolio risk and return.
  • Collaboration: Partner with traders, portfolio managers, and researchers to translate quantitative insights into actionable strategies.

Required Qualifications:

  • Academic: Currently pursuing a Bachelor’s or graduate degree in a STEM field, Economics, Finance, Applied Mathematics, Statistics, Data Science, or other quantitative related discipline.
  • Skills: Proficiency in Python (pandas, NumPy, scikit-learn), R, or MATLAB; experience with SQL and data visualization tools preferred.
  • Quantitative Expertise: Strong foundation in probability, statistics, time-series analysis, and optimization.
  • Analytical Mindset: Ability to structure complex problems and implement data-driven solutions.
  • Communication: Ability to clearly present analytical results to technical and non-technical audiences.

What We Offer:

  • Cutting-Edge Research: Exposure to quantitative modeling and strategy development across energy and financial markets.
  • Mentorship: Direct collaboration with experienced quants and researchers.
  • Innovation Environment: Access to state-of-the-art tools and real-world datasets for applied quantitative research.
  • Career Growth: Top-performing interns will be considered for full-time quantitative research or trading assistant roles.