ZipRecruiter

Log In

2

Remote Quantitative Developer Intern Jobs in Philadelphia, PA

Serigor, Inc.

UX Researcher (Remote)

Conshohocken, PA · On-site +1

Define and measure quantitative UX goals and metrics to assess and "success" across our digital ... engineering leaders. * Skilled at communicating verbally and in writing to diverse audiences.

Amrize

Manufacturing Technology Leader

Philadelphia, PA · Remote

$15.75 - $19.25/hr

Remote Worker - Tennessee, Remote Worker - Alabama, Remote Worker - Arkansas, Remote Worker ... Bachelor's Degree in Chemical Engineering or a related engineering field or equivalent experience.

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

... or a related quantitative field. * Experience: 5+ years of SAS programming experience in life ... Able to work independently in a remote environment and manage timelines effectively. Preferred ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid ... or a related quantitative field. * Proven experience developing predictive models or machine ...

next page

Showing results 1-20

All JobsQuantitative Developer Intern JobsRemote Quantitative Developer Intern JobsRemote Quantitative Developer Intern Jobs in Philadelphia, 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 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 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 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 Philadelphia, PA? For Remote Quantitative Developer Intern jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Developer Intern jobs in Philadelphia, PA look for? The top searched job categories for Remote Quantitative Developer Intern jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Quantitative Developer Intern jobs? Cities near Philadelphia, PA with the most Remote Quantitative Developer Intern job openings:
Remote Quantitative Developer Intern jobs near you
Quantitative Research Developer - Remote

Quantitative Research Developer - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Posted 27 days ago

Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We're seeking a highly driven, production-oriented quantitative research developer who has strong technical skills, first-hand experience with tick data, and interest in the intersection of market microstructure and alpha generation. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Design, develop and support simulation frameworks for backtesting execution approaches.
  • Work with other quantitative researchers to develop new trading ideas.

Requirements:
  • Proficiency and experience in C++ and Python.
  • Experience researching, building and maintaining trading systems utilizing market data.
  • Strong understanding of data path from tick to trade.
  • Experience analyzing time series data.
  • Experience with large data sets.
  • Excellent verbal and written communication skills.
  • Strong work ethic and desire for excellence.
  • Desire to think critically and creatively.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

Apply