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Remote Financial Engineering Intern Jobs in Pennsylvania

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Lead Substation Physical Engineer

Seven Fields, PA · On-site +1

$94K - $120K/yr

Remote candidates must be located in the United States, preferably in the state of Pennsylvania ... Partner closely with internal engineering groups and external clients to understand needs, align ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Collaborate with financial and property inventory teams to review fabrication costs; ensure correct ...

$14.75 - $19.75/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants. AND POSITION ...

Showing results 41-60

Remote Financial Engineering Intern information

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 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 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 popular job titles related to Remote Financial Engineering Intern jobs in Pennsylvania?

For Remote Financial Engineering Intern jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Financial Engineering Intern jobs in Pennsylvania look for?

The top searched job categories for Remote Financial Engineering Intern jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Financial Engineering Intern jobs?

Cities in Pennsylvania with the most Remote Financial Engineering Intern job openings:

Research Intern on Generative and Protective AI for Content Creation

Sony

On-site, Remote

$50/hr

Internship

This job post has expired today. Applications are no longer accepted.


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more:

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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