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Remote Quantitative Analyst Internship Jobs (NOW HIRING)

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Remote Quantitative Analyst Internship information

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$56.5K

$133.9K

$240K

How much do remote quantitative analyst internship jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote quantitative analyst internship in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a Remote Quantitative Analyst Internship?

A Remote Quantitative Analyst Internship is a temporary, entry-level position where interns work from a remote location to assist organizations with data analysis, mathematical modeling, and financial research. Interns typically use statistical tools and programming languages to analyze large datasets, identify trends, and generate reports that help guide business or investment decisions. This internship provides valuable hands-on experience in quantitative analysis, exposure to industry-standard software, and the opportunity to collaborate with experienced analysts—all while working outside of a traditional office environment.

What are some common challenges faced by remote quantitative analyst interns, and how can they be overcome?

Remote quantitative analyst interns often face challenges such as limited access to immediate feedback, staying connected with team members, and managing time effectively without direct supervision. To overcome these, it's important to proactively communicate with supervisors and colleagues through scheduled check-ins and virtual meetings. Using collaborative tools for data sharing and project tracking can also help maintain productivity and alignment with team goals. Additionally, setting a structured daily routine and seeking out mentorship opportunities within the organization can greatly enhance the remote internship experience.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Analyst Intern, and why are they important?

To thrive as a Remote Quantitative Analyst Intern, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, often supported by coursework in economics, finance, or related fields. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and statistical modeling software, is typically required. Excellent problem-solving abilities, clear communication, and the ability to work independently are crucial soft skills for remote collaboration and reporting insights. These skills are essential for accurately analyzing data, supporting decision-making, and contributing effectively to team goals in a remote environment.
More about Remote Quantitative Analyst Internship jobs
What cities are hiring for Remote Quantitative Analyst Internship jobs? Cities with the most Remote Quantitative Analyst Internship job openings:
What are the most commonly searched types of Remote Quantitative Analyst jobs? The most popular types of Remote Quantitative Analyst jobs are:
What states have the most Remote Quantitative Analyst Internship jobs? States with the most job openings for Remote Quantitative Analyst Internship jobs include:
Infographic showing various Remote Quantitative Analyst Internship job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 87% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Principal Energy Storage Power Market Analyst - REMOTE

Principal Energy Storage Power Market Analyst - REMOTE

ThinkBAC Consulting

Houston, TX • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Job description

Job Description
Principal Energy Storage Power Market and Quantitative Analyst
Locations: HYBRID (Houston, TX area)
This is an opportunity to join an industry leading renewable energy venture with strong private equity backing that is focused on the development, execution, and operations of dynamic utility-scale energy storage projects. They are at the forefront of the industry, have accumulated over 9GW+ nationwide portfolio of projects that include a utility-scale fleet of grid-connected operating standalone battery storage assets.
The position will help facilitate quantitative assessments and analysis that are the crux of the portfolio's success. The incumbent will also help pioneer the build-out and utilization of a proprietary battery storage / energy storage management platform for utility-scale renewable projects. Fast paced work culture built for growth.
They are committed to creating more renewable infrastructure solutions for the grid and are offering industry competitive compensation packages to their employees leading the drive to meet company goals. Other perks included a competitive base salary, open PTO policy, flex work hours, 401K match, solid health benefits, the opportunity to work with a transparent Executive Leadership Team..and more.
RESPONSIBILITIES:
  • Principal Renewables Power Market Analyst / Quantitative Analyst - Battery brainpower: Lead the charge on improving the company's custom battery dispatch model. Run back-cast studies to support market research, siting, M&A, and finance efforts.
  • Principal Renewables Power Market Analyst / Quantitative Analyst - Market radar: Keep the ERCOT BESS dashboard fresh-analyze performance, spot bidding trends, track rule changes, and suggest smarter, risk-aware trading tweaks.
  • Principal Renewables Power Market Analyst / Quantitative Analyst - Forecast finesse: Help run and refine the fundamentals-based price forecasting process, and contribute to better DA/RT bidding strategies.
  • Principal Renewables Power Market Analyst / Quantitative Analyst - Data detective: Dive into internal and external data (from ISO/RTOs, YES Energy, ICE, etc.) to build models that reveal trends and drive strategic insights.
  • Principal Renewables Power Market Analyst / Quantitative Analyst - Team connector: Work closely with the Fundamentals, Trading, Data Science, and Commercial teams to tackle deep-dive analyses and shape long-term revenue forecasts for BESS.

QUALIFICATIONS:
  • Education & Experience: Bachelor's in Engineering, Economics, or a related field (Master's preferred), with 7+ years of hands-on experience in energy market modeling, optimization tools (like Dayzer or Aurora), and deep dives into ERCOT and BESS analytics.
  • Tech toolkit: Comfortable coding in Python, building data pipelines, and linking up models with SQL. You know your way around Power BI and the full Microsoft Office suite too.
  • Market savvy: Strong grasp of how energy markets tick-from LMPs to congestion-and how to break down and explain those concepts in plain language.
  • Communications pro: Whether it's writing reports or presenting to execs, you can translate complex analysis into insights that land with both technical and non-technical audiences.
  • Team player & multitasker: Used to juggling projects in fast-paced, cross-functional settings with teammates spread across different locations.
  • Analytical mindset: You bring a sharp, data-driven approach to problem-solving and decision-making, always looking to turn numbers into strategies.