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Remote Quantitative Developer Intern Jobs in State College, PA

Remote Quantitative Developer Intern information

What does a remote quantitative developer intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

What are the key skills and qualifications needed to thrive as a remote quantitative developer intern, and why are they important?

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

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

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

What is the difference between Remote Quantitative Developer Intern vs Quantitative Analyst Intern?

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

What are popular job titles related to Remote Quantitative Developer Intern jobs in State College, PA?

For Remote Quantitative Developer Intern jobs in State College, PA, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Developer Intern jobs in State College, PA look for?

The top searched job categories for Remote Quantitative Developer Intern jobs in State College, PA are:

What cities near State College, PA are hiring for Remote Quantitative Developer Intern jobs?

Cities near State College, PA with the most Remote Quantitative Developer Intern job openings:

Infographic showing various Remote Quantitative Developer Intern job openings in State College, PA as of August 2026, with employment types broken down into 37% Internship, 43% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Postdoctoral Scholar

Penn State University

University Park, PA • On-site, Remote

Full-time

Re-posted 9 days ago


Penn State University rating

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Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The Research Translation Platform invites applications for a Postdoctoral Scholar interested in a career at the research-policy nexus supporting the evaluation and analytic needs of strategies for translating scientific evidence to policymakers. This exciting opportunity would train a Post-Doctoral Scholar in the science of science impact by developing their research expertise in the scholarly study of how policymakers use research evidence. This includes evaluating dissemination and impact or research translation models, such as the Research-to-Policy Collaboration model. The Scholar would be responsible for conceptualization of appropriate advanced quantitative methodologies and analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective, replicable and non-partisan model for brokering researchers and policymakers. While the Scholar should have strong quantitative skills, prior policy experience is not required. The Scholar will receive training and mentorship in applying their skills to the analysis of boundary-spanning initiatives. This mentored position provides an opportunity to learn translational skills while working with policymaking audiences, as well as opportunities to contribute to scholarly work regarding best practices for research translation and dissemination. Our team is hybrid academic and policy practice; thus, we use data for action. Opportunities for professional development and scholarly contributions will be provided. Preference will be given to those within commuting distance to the Washington, D.C. area, though it is not required.
Job Responsibilities
• Design the plan for and analyze observational and survey data regarding policymakers' or researchers' engagement in boundary-spanning initiatives, including longitudinal and multi-level analyses
• Extract, transform, clean, and maintain data from a variety of sources
• Development and proactive upkeep of data sources (e.g., surveys in Redcap, observational data via a CRM)
• Contribute to the development of analytic plans for grants and publications
• Support analytic needs for grant writing and reporting (e.g., power analyses; interim impact analyses)
• Meet with legislators or staff to collect survey data
• Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic plans
• Support research planning by setting milestone goals and incremental internal deadlines to achieve goals
Skills and Traits Needed by Applicants
• Excellent analytic abilities and advanced statistical modeling skills (e.g., longitudinal, multi-level, overdispersed) of large, messy datasets
• Proficient with statistical programming software and languages (e.g. SAS, STATA, or R)
• Excellent attention to detail
• Applied research experience, such as large administrative datasets or real-world data
• Enthusiasm and commitment to accelerating the translation of science to policy, including learning key theories in the area of study
• Curiosity and a generalist attitude with interest in diverse social policy issues
• Ability to work on multiple simultaneous projects and prioritize work based on project scope, organizational need, and timeline
• Strong diplomatic communication and interpersonal skills.
• Strong communication skills, such as seeking input early in design and escalating threats or problems to PIs
• Ensuring quality control of data collection, and alerting PIs as needed
• Substantial scholarly writing and presentation experience
• Bipartisan mindset and ability to interpret findings from multiple viewpoints
Eligibility
• Completion of all requirements for the Ph.D. at the time of appointment; applicants may have their degrees from any department, but degrees in psychology, public health, human development, public policy, social work, or prevention science will be particularly good fits for the program.
• While the RTP team primarily operates remotely, preference will be given to applicants in Virginia within commuting distance of Washington, D.C. to support in-person data collection from congressional staff
• Remote work requires high-quality, high speed internet connection in a home office
Application Instructions
Full consideration will be given to those applicants who completely submit all materials online. A complete submission will consist of:
• Cover Letter describing relevant experience and career goals
• Curriculum Vitae
• Writing Sample (preferably samples of work directed toward non-academic audience; may include samples of creative/artistic work; 1-2 samples, 35-page cumulative max)
• Three references. Letters may be requested upon review of materials.
Supervision will be provided by Executive Director, Taylor Scott, Ph.D., and Director of Research and Evaluation, Elizabeth Long, Ph.D. Additional mentorship provided by Max Crowley, Ph.D., Professor at Pennsylvania State University.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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