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Remote Financial Engineering Intern Jobs in Colorado

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students ...

Intern

Denver, CO · Remote

$15.50 - $20.50/hr

Key Responsibilities: * Assist with monthly financial close processes and prepare financial ... Manage accounting data flow between remote facilities and corporate systems. * Support quarterly ...

Intern

Denver, CO · Remote

$15.50 - $20.50/hr

Key Responsibilities: * Assist with monthly financial close processes and prepare financial ... Manage accounting data flow between remote facilities and corporate systems. * Support quarterly ...

Economics Research Intern

Boulder, CO · On-site +1

$18 - $20/hr

S. Remote with option to be hybrid out of an EDF office in Washington, D.C., New York, San ... Contribute to the development of an investor scoping strategy by using detailed financial and ...

We're a small creative team of video game developers who are focused on creating kind ... This job is based in Boulder, CO. Remote options are available in qualied situations.

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Remote Financial Engineering Intern information

What are some common challenges faced by remote financial engineering interns, and how can they effectively overcome them?

Remote Financial Engineering Interns often encounter challenges related to communication and collaboration, since much of their work involves complex quantitative modeling and teamwork with senior engineers or analysts. To overcome these hurdles, interns should proactively schedule regular check-ins with mentors, utilize collaborative tools for code sharing and project management, and clearly document their work. Additionally, managing time zones and staying self-motivated are key—setting a structured daily routine and leveraging virtual learning sessions can help interns stay productive and connected with their teams.

What are the key skills and qualifications needed to thrive as a remote financial engineering intern?

To thrive as a Remote Financial Engineering Intern, you need a solid background in quantitative finance, programming (such as Python or R), and mathematical modeling, typically supported by coursework in finance, mathematics, or engineering. Familiarity with financial analysis software, coding platforms, data visualization tools, and potentially Bloomberg Terminal or similar systems is highly beneficial. Strong analytical thinking, attention to detail, self-motivation, and effective written communication are vital soft skills for remote collaboration and problem-solving. These competencies are essential for contributing to complex financial projects, interpreting data accurately, and working efficiently within distributed teams.

What is a remote financial engineering intern?

A Remote Financial Engineering Intern is a student or recent graduate who works remotely to support financial engineers in tasks like modeling financial products, analyzing data, programming algorithms, and assisting with risk management. This role typically involves using quantitative skills and programming languages such as Python, R, or MATLAB to solve real-world financial problems. Interns may work for investment banks, hedge funds, fintech companies, or financial consultancies, gaining hands-on experience in quantitative finance without needing to be on-site.
What job categories do people searching Remote Financial Engineering Intern jobs in Colorado look for? The top searched job categories for Remote Financial Engineering Intern jobs in Colorado are:
What cities in Colorado are hiring for Remote Financial Engineering Intern jobs? Cities in Colorado with the most Remote Financial Engineering Intern job openings:
Infographic showing various Remote Financial Engineering Intern job openings in Colorado as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Analytics Engineering Intern

Five and Fly

Denver, CO • On-site, Remote

$17.25 - $22.50/hr

Full-time

Re-posted 25 days ago


Job description

Analytics Engineering Intern
Department: Analytics Engineering Intern
Employment Type: Full Time
Location: Remote
Description
We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.
As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.
Key Responsibilities
  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation
    initiatives.
  • Collaborate on process optimization and automation projects across teams.

Skills, Knowledge and Expertise
Technical Requirements
  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.

Professional Qualifications
  • Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.
    Preferred Qualifications
  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.