Quantitative Researcher

Storm4; New York (NY); On-site; USD 100,000 - 160,000; Full time

Job summary

Storm4 seeks an early-career quantitative professional to develop models for power markets, supporting investment decisions across ERCOT, PJM and major U.S. energy markets.

You will collaborate with researchers and traders to translate analytics into actionable insights, automate data pipelines, and build dashboards for market intelligence. Strong analytical skills and Python proficiency are essential.

Qualifications

• Bachelor's, Master's, or PhD in Operations Research, Electrical Engineering, Applied Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills with an interest in energy markets.
• Proficiency in Python; experience with SQL, Git, or optimization tools is beneficial.
• Exposure to power systems, optimization, ML, statistics, or energy market analysis through coursework, research, internships, or professional experience.

Responsibilities

• Assist in building and maintaining power market optimization models (SCUC/SCED) using Python and commercial solvers.
• Analyze grid conditions, generation dispatch, and transmission constraints to understand market outcomes.
• Support development of forecasting and scenario analysis tools used by trading and investment teams.
• Work closely with senior researchers, traders, and portfolio managers to translate quantitative analysis into actionable insights.
• Help automate data pipelines, model workflows, and reporting processes.
• Contribute to dashboards and market intelligence tools used across the business.

Skills

Analytical thinking

Problem solving

Energy markets interest

Python

SQL

Git

Optimization tools

Education

Operations Research

Electrical Engineering

Applied Mathematics

Computer Science

Economics

Tools

Python

SQL

Git

Optimization tools

Job description

Are you an early-career quantitative professional with a passion for power markets, optimization, and energy systems? Join a leading international hedge fund and work alongside experienced researchers and traders to develop models that support investment decisions across ERCOT, PJM, and other major U.S. power markets.

What You'll Do:

• Assist in building and maintaining power market optimization models (SCUC/SCED) using Python and commercial solvers.
• Analyze grid conditions, generation dispatch, and transmission constraints to better understand market outcomes.
• Support the development of forecasting and scenario analysis tools used by the trading and investment teams.
• Work closely with senior researchers, traders, and portfolio managers to translate quantitative analysis into actionable insights.
• Help automate data pipelines, model workflows, and reporting processes.
• Contribute to dashboards and market intelligence tools used across the business.

What We're Looking For:

• Bachelor's, Master's, or PhD in Operations Research, Electrical Engineering, Applied Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills with an interest in energy markets.
• Proficiency in Python; experience with SQL, Git, or optimization tools is beneficail.
• Exposure to power systems, optimization, machine learning, statistics, or energy market analysis through coursework, research, internships, or professional experience.
• Interest in U.S. power markets (ERCOT, PJM, MISO, CAISO, SPP, etc.) is highly desirable but not required

Why Join?

• Be part of a high-impact team at a top international hedge fund.
• Work on cutting-edge quantitative models that directly influence investment performance.
• Collaborate with some of the brightest minds in quant finance and energy markets.