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Remote Financial Engineering Intern Jobs in Princeton, NJ

Growth Intern

New York, NY · On-site +1

$16.50 - $22/hr

... to expand Layer N's ecosystem of developers, users, and institutional partners. Your ... Strong interest in learning more about blockchain systems, and financial systems * Ability to work ...

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

New

... dynamic engineering team. As a Remote Software Engineer, you will play a key role in designing ... Dental insurance Vision insurance Financial Security: Retirement plans Work-Life Balance: Paid time ...

... PeopleSoft Financials developer for a critical migration project. This role's primary ... NET framework, reverse-engineering business logic, and extracting critical data, as well as ...

... engineering solutions provider, committed to excellence in project execution and financial integrity. Were seeking a dedicated and skilled Remote Accountant to manage our financial records, reporting ...

... Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates ... Bachelor's degree in Computer Engineering, Computer Science, Information Technology or related ...

Smart Course - Internship (Remote)

New York, NY · On-site +1

$16.50 - $22/hr

Examine financial data and use them to improve profitability * Manage budgets and forecasts ... Willing to work as an intern or early-stage employee in exchange for a kickass learning experience ...

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Remote Financial Engineering Intern information

See Princeton, NJ salary details

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How much do remote financial engineering intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote financial engineering intern in Princeton, NJ is $20.25, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $21.92 per hour, depending on experience, location, and employer.

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.
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Data Analyst Internship

FDR Financial Group

New York, NY • Remote

Full-time

Re-posted 24 days ago


Job description

Description

We are looking for a Data Analyst Intern to join FDR Financial Group, a leading financial services company. As a Data Analyst Intern, you will play a crucial role in analyzing and interpreting complex data sets to help drive business decisions and strategies. This internship offers a valuable opportunity to gain hands-on experience in the financial industry and develop essential analytical skills.

As a Data Analyst Intern at FDR Financial Group, you will work on a variety of projects involving data collection, cleansing, and visualization. Your insights and recommendations will directly impact the company's operations and contribute to its overall success. This role is ideal for individuals interested in data analysis, financial services, and gaining practical experience in a dynamic remote work environment.

Responsibilities:
  • Collect and analyze data to identify trends and patterns.
  • Assist in preparing reports and presentations based on data findings.
  • Collaborate with team members to support data-driven decision-making processes.
  • Conduct quality assurance checks on data to ensure accuracy and reliability.
  • Utilize data visualization tools to present information in a clear and concise manner.
  • Assist in developing and maintaining databases for data storage and retrieval.
  • Support the implementation of data analytics solutions and strategies.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Pursuing a degree in Data Science, Statistics, Mathematics, Economics, or related field.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Proficiency in data analysis tools such as Excel, SQL, or Python.
  • Excellent attention to detail and accuracy in data interpretation.
  • Ability to work independently and collaboratively in a team environment.
  • Good communication skills to present findings and insights effectively.
  • Basic understanding of financial concepts and terminology is a plus.
  • Strong problem-solving skills and a proactive attitude towards learning.