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Part Time Python Quant Jobs (NOW HIRING)

Staff Data Scientist

San Francisco, CA · On-site +1

$250.08K - $275.09K/yr

Use empirical measurements, develop quantitative and machine learning models to forecast losses and ... Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.

IT Intern, Corporate

New York, NY · On-site

$16.50 - $22/hr

... part-time during the school year. You will support Perella Weinberg Partners' users, working ... Python or Powershell * Remote assistance of a user * iPhone and Android devices managed by a MDM ...

IT Intern, Corporate

New York, NY

$16.50 - $22/hr

... part-time during the school year. You will support Perella Weinberg Partners' users, working ... Python or Powershell * Remote assistance of a user * iPhone and Android devices managed by a MDM ...

Staff Cloud Security Engineer

New York, NY · On-site

$231.62K - $266.37K/yr

Part-time telecommuting is an option. Hybrid work from Peloton office in New York, NY Minimum ... Python (6 years), Shell (6 years), PHP (6 years), PowerShell (6 years), and Ruby (6 years); 7. High ...

Collaborate with quant modelling/technology/data teams to ensure robust model deployment and FO ... Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization.

Collaborate with quant modelling/technology/data teams to ensure robust model deployment and FO ... Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization.

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Part Time Python Quant information

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How much do part time python quant jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for part time python quant in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as a Part Time Python Quant, you need strong quantitative analysis skills, solid programming expertise in Python, and a background in mathematics, statistics, finance, or a related field. Familiarity with data analysis libraries (such as pandas, NumPy, and scikit-learn), financial modeling tools, and possibly experience with databases or cloud platforms is typically expected. Effective problem-solving, attention to detail, and strong communication skills help you interpret data insights and collaborate with team members. These competencies are crucial for developing robust quantitative models and delivering actionable financial insights in a flexible, part-time capacity.

How does a Part Time Python Quant typically collaborate with full-time quantitative analysts and traders?

As a Part Time Python Quant, you’ll often work alongside full-time quantitative analysts and traders by contributing code, analytics, or models that support trading strategies. Collaboration usually happens through version control platforms, regular team meetings, and direct communication with stakeholders about project requirements and results. You may be responsible for handling specific tasks such as data preprocessing, model prototyping, or performance monitoring, ensuring your work integrates smoothly with broader team efforts. Clear communication, adaptability, and proactive status updates are key to succeeding in this flexible, collaborative environment.

What is a Part Time Python Quant?

A Part Time Python Quant is a quantitative analyst who uses Python programming to develop models, analyze data, and support decision-making in finance or related industries on a part-time basis. These professionals often work with large datasets, implement algorithms, and create tools to evaluate trading strategies or manage risk. Working part-time allows for flexible arrangements, which can be ideal for students, freelancers, or those seeking work-life balance. Strong programming skills in Python, mathematical knowledge, and experience with financial concepts are typically required.

What is the difference between Part Time Python Quant vs Part Time Data Analyst?

AspectPart Time Python QuantPart Time Data Analyst
Required CredentialsDegree in Finance, Mathematics, or Computer Science; Python programming skillsDegree in Statistics, Business, or related field; proficiency in data tools
Work EnvironmentFinancial firms, hedge funds, trading firmsCorporate, consulting, or research organizations
Employer & Industry UsageUsed in quantitative trading, risk managementUsed in market research, business insights

Part Time Python Quants focus on developing quantitative models for trading and risk analysis using Python, often within financial institutions. Part Time Data Analysts interpret data to support business decisions, utilizing similar technical skills but in broader industries. While both roles require Python knowledge and analytical skills, their industry focus and application differ significantly.

More about Part Time Python Quant jobs
What are the most commonly searched types of Python Quant jobs? The most popular types of Python Quant jobs are:
Infographic showing various Part Time Python Quant job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, and 26% Part Time. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Postdoctoral Research Associate

Princeton University

Princeton, NJ • On-site

$85K/yr

Full-time, Part-time

Posted 27 days ago


Princeton University rating

9.0

Company rating: 9.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

19th of 532 rated colleges and universities


Job description

Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art technical or methodological skills, applying innovative techniques in the examination of substantive social science research questions. In addition to innovation, candidates will be evaluated on their potential to create public goods and their capacity for interdisciplinary engagement. Responsibilities This role's emphasis is on making substantive technical and methodological contributions that either directly or indirectly support DDSS-supported projects or its mission. Candidates will be able to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops each semester, assist in organizing research-based events (e.g., speaker series, symposia, or reading groups), present their work at research methods and field-specific seminars, assist with DDSS projects on occasion, and offer consultation to faculty, graduate students, and postdoctoral researchers from the social sciences on topics related to the candidate's area of expertise. Three days per week can be dedicated to independent research. Postdoctoral research associates work under the direct supervision of the Director for Research and Strategy and DDSS Faculty Director. Area of expertise is open, but preference will be given to candidates with expertise in one or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https://www.princeton.edu/acad-positions/position/40801. Review of applications will begin on December 1, 2025, and will remain ongoing until the position is filled. Application Requirements 1.Cover letter 2.C.V. 3.1-2 page research statement, specifying research interests and example training workshops candidate could offer 4.1-2 research papers 5.contact information for two references Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. The appointment will be through the Department of Politics. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University.
Expected Salary Range: $85,000
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

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