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Quant Python Remote Jobs in Glassboro, NJ (NOW HIRING)

Relativity

Senior Applied Scientist

Wilmington, DE · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong programming ability in a language such as Python * Comfort working in UNIX-based ...

Compass

Pricing Analyst III - Remote

Philadelphia, PA · On-site +1

$80K - $120K/yr

... quantitative analyses. This role operates with a high degree of autonomy. In addition, this role ... Develop and enhance pricing analytics utilizing SAS, Python, Excel and Tableau related to projected ...

All JobsQuant Python Remote JobsQuant Python Remote Jobs in Glassboro, NJ

Quant Python Remote information

See Glassboro, NJ salary details

$12

$56

$83

How much do quant python remote jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for quant python remote in Glassboro, NJ is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What job categories do people searching Quant Python Remote jobs in Glassboro, NJ look for? The top searched job categories for Quant Python Remote jobs in Glassboro, NJ are:
What cities near Glassboro, NJ are hiring for Quant Python Remote jobs? Cities near Glassboro, NJ with the most Quant Python Remote job openings:
Quant Python Remote jobs near you

Quantitative Analyst, Applied Biomechanics

Philadelphia Phillies - Baseball Operations

Philadelphia, PA • On-site, Remote

Other

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title: Quantitative Analyst, Applied Biomechanics
Department: Baseball Solutions - Applied Biomechanics
Reports to: Manager, Applied Biomechanics or Manager, Foundational Research
Status: Regular Full-Time
Location: Philadelphia, PA or Clearwater, FL

Overview:

The Philadelphia Phillies are hiring a Quantitative Analyst to join our Applied Biomechanics team, with a focus on quantitative modeling and analysis. In this role, you'll use biomechanical and/or high performance data to answer practical questions about player evaluation, development, and on-field outcomes. You'll help translate complex data into clear, objective insights that support coaches, analysts, and decision-makers across the organization.

What You'll Do:

  • Build statistical models using athlete high performance, on-field performance, and biomechanical data.
  • Develop metrics, tools, and visualizations to support player evaluation, player development, workload management, and gameplanning processes.
  • Conduct research on relationships between tracking data and on-field outcomes.
  • Help productionize analytical tools and maintain scalable research pipelines.

Required Qualifications:

  • Proven experience creating high performance or biomechanical metrics and researching their relationship to on-field performance.
  • Strong familiarity with supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
  • Proficiency with scripting languages such as Python, statistical software (R, SAS, or similar), and databases (BigQuery, MySQL).

Preferred Qualifications:

  • Familiarity with best practices in machine learning operations (Git, Docker, MLFlow, or equivalent).
  • Demonstrated experience in handling, analyzing, and interpreting biomechanical data in sports. 
  • 1-5+ years of relevant work experience.
  • Master's Degree or Ph.D. in Sports Science, Data Science, or a related field.

What We Offer:

  • Competitive Salary & Benefits: A benefits package that includes health insurance, retirement plans (NUPP and 401k), paid time off, tickets to Phillies games, and the option of remote work.
  • Access To The Cutting Edge: Exposure to advanced tools and proprietary data.
  • Dynamic Team Environment: Work with a team committed to excellence.
  • Personal Growth: Learn from colleagues within a supportive and driven environment.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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